@prefix dct: . @prefix frapo: . @prefix owl: . @prefix schema: . @prefix swc: . a schema:Person . schema:name "Christian Erlinger" . schema:description '''Christian Erlinger works as project manager at ZHB Luzern (Lucerne Central and University Library, Switzerland) for ZentralGut.ch, a repository for the digitized cultural heritage of Central Switzerland. He had studied urban planning and political science in Vienna and is engaged to foster GLAM contributions in all Wikimedia projects.''' . frapo:hasORCID "0000-0001-7872-9617" . owl:sameAs . schema:affiliation [ a schema:Organization; schema:name "Lucerne Central and University Library, Switzerland" ] . a schema:Person . schema:name "Arne Stabenau" . schema:affiliation [ a schema:Organization; schema:name "National Technical University of Athens, Greece" ] . a schema:Person . schema:name "Zoe Schubert" . schema:affiliation [ a schema:Organization; schema:name "TIB – Leibniz Information Centre for Science and Technology, Germany" ] . a schema:Person . schema:name "Eirini Kaldeli" . schema:affiliation [ a schema:Organization; schema:name "National Technical University of Athens, Greece" ] . a schema:Person . schema:name "Steven Folsom" . schema:description '''Steven Folsom is the Head of Metadata Design and Operations at Cornell University Library. Their career has focused on sustainable metadata practices to aid in discovery and access across digital and physical collections. As a member of the Linked Data for Libraries (LD4L) and Linked Data for Production (LD4P) Mellon Foundation funded grants, he participates in the development efforts of tools and data models meant to aid the adoption of linked data in libraries.''' . frapo:hasORCID "0000-0003-3427-5769" . owl:sameAs . schema:affiliation [ a schema:Organization; schema:name "Cornell University, United States of America" ] . a schema:Person . schema:name "Enrique Manjavacas" . schema:description '''Enrique Manjavacsa is currently a post-doctoral researcher in Computational Linguistics at the University of Leiden. In his current work, he seeks to adapt and apply modern large scale language models like BERT in order to facilitate access to complex information from unstructured corpora in the Humanities.''' . frapo:hasORCID "0000-0002-3942-7680" . owl:sameAs . schema:affiliation [ a schema:Organization; schema:name "Leiden University, Netherlands" ] . a schema:Person . schema:name "Doug Emery" . frapo:hasORCID "0000-0002-5147-7736" . owl:sameAs . schema:affiliation [ a schema:Organization; schema:name "Penn Libraries, United States of America" ] . a schema:Person . schema:name "Lu-Yen Lu" . schema:affiliation [ a schema:Organization; schema:name "Institute of History and Philology, Academia Sinica, Taiwan" ] . schema:affiliation [ a schema:Organization; schema:name "Academia Sinica Center for Digital Cultures, Academia Sinica, Taiwan" ] . a schema:Person . schema:name "Antoine Isaac" . frapo:hasORCID "0000-0001-9767-6979" . owl:sameAs . schema:affiliation [ a schema:Organization; schema:name "Europeana Foundation, Netherlands" ] . a schema:Person . schema:name "Kayt Ahnberg" . schema:description '''Katherine Ahnberg, MLS (she/her), serves as the User Experience Researcher/Designer at the University of Pennsylvania Libraries. Advocating for users across a diverse service population, her foci are data informed design and evidence-based practice. Contact: ahnberg@upenn.edu. ''' . schema:affiliation [ a schema:Organization; schema:name "University of Pennsylvania, United States of America" ] . a schema:Person . schema:name "Filip Jakobsen" . schema:description '''Filip Jakobsen is the founder and CEO of Samhæng, which is a specialized UX consultancy designing digital tools for handling complex data. With a focus on work tools for libraries, culture and the arts. Samhæng co-designs software with the people who end up using it: Staff and patrons. Samhæng has led co-design efforts on library projects like FOLIO, ReShare, Share-VDE and the Library of Congress BIBFRAME Editor. More information can be found on https://samhaeng.com/about ''' . schema:affiliation [ a schema:Organization; schema:name "Samhæng, Denmark" ] . a schema:Person . schema:name "Ina Blümel" . frapo:hasORCID "0000-0002-3075-7640" . owl:sameAs . schema:affiliation [ a schema:Organization; schema:name "TIB – Leibniz Information Centre for Science and Technology, Germany" ] . a schema:Person . schema:name "Paolo Scalia" . schema:affiliation [ a schema:Organization; schema:name "Europeana Foundation, Netherlands" ] . a schema:Person . schema:name "Telma Peura" . schema:description '''Telma Peura is a Digital Humanities master student from Helsinki University, working as a research assistant for the [BookSampo](https://seco.cs.aalto.fi/applications/kirjasampo/) project at the Semantic Computing Research Group [SeCo](https://seco.cs.aalto.fi/) at Aalto University. Previously, she has worked in digital literary studies as part of the [Fabula-NET](https://centre-for-humanities-computing.github.io/fabula-net/) project at Aarhus University.''' . frapo:hasORCID "0000-0001-8896-8603" . owl:sameAs . schema:affiliation [ a schema:Organization; schema:name "Semantic Computing Research Group (SeCo), Aalto University, Finland" ] . schema:affiliation [ a schema:Organization; schema:name "Helsinki Centre for Digital Humanities (HELDIG), University of Helsinki, Finland" ] . a schema:Person . schema:name "Moritz Fürneisen" . schema:description '''Moritz Fürneisen is a research engineer at ZBW, where he develops and evaluates algorithms for automated subject indexing. Moritz has also been involved in the design of an architecture for integrating automated subject indexing into production.''' . schema:affiliation [ a schema:Organization; schema:name "ZBW – Leibniz Information Centre for Economics, Germany" ] . a schema:Person . schema:name "Letitia Mölck" . schema:affiliation [ a schema:Organization; schema:name "German National Library" ] . a schema:Person . schema:name "Crystal Yragui" . schema:description '''Crystal Yragui is a Science Cataloger at the University of Washington Libraries, and is the project manager for the MARC21-to-RDA/LRM/RDF Mapping Project.''' . frapo:hasORCID "0000-0001-5000-282X" . owl:sameAs . schema:affiliation [ a schema:Organization; schema:name "University of Washington Libraries, United States of America" ] . a schema:Person . schema:name "Steffen Rörtgen" . schema:description '''Steffen Rörtgen ([\@steffenr42](https://twitter.com/steffenr42), [\@steffenr42@openbiblio.social](https://openbiblio.social/web/@steffenr42)) is working as a web developer on open education projects in the open infrastructure group of the North Rhine-Westphalian Library Service Centre. Steffen is especially interested in open web technologies. He tries to solves problems concerning heterogenous education metadata with the help of semantic web approaches. Steffen is also contributing to the open source project [SkoHub-Vocabs](https://github.com/skohub-io/skohub-vocabs), a lightweight tool for publishing SKOS vocabularies with a HTML view and at the same time in a machine-readable format. Together with Adrian Pohl he will conduct a workshop for it. He is also researching on machine-readable curricula and framework data, so if this is also of interest for you (or any other topic mentioned), feel free to reach out!''' . frapo:hasORCID "0000-0001-6378-2618" . owl:sameAs . schema:affiliation [ a schema:Organization; schema:name "North Rhine-Westphalian Library Service Centre (hbz), Germany" ] . a schema:Person . schema:name "Mona Lehtinen" . schema:description '''I work with the Annif project and am happy to tackle various tasks such as project coordination, community and corpora building and testing the new features of Annif.''' . frapo:hasORCID "0000-0002-4735-0214" . owl:sameAs . schema:affiliation [ a schema:Organization; schema:name "National Library of Finland, Finland" ] . a schema:Person . schema:name "Juho Inkinen" . schema:description '''I work as an Information Systems Specialist at the National Library of Finland. I have been developing Annif and working on related tasks since 2019.''' . frapo:hasORCID "0000-0002-6497-6171" . owl:sameAs . schema:affiliation [ a schema:Organization; schema:name "National Library of Finland, Finland" ] . a schema:Person . schema:name "Lynn Ransom" . frapo:hasORCID "0000-0002-5231-3602" . owl:sameAs . schema:affiliation [ a schema:Organization; schema:name "Schoenberg Institute for Manuscript Studies, Penn Libraries, United States of America" ] . a schema:Person . schema:name "Christoph Poley" . schema:description '''Christoph Poley is a software and data engineer. He is responsible for the Leipzig department “Automatic Indexing; Online Publications” at the German National Library. Previously he worked in scientific libraries, e.g. as head of the discovery service LIVIVO at ZB MED in Cologne and for a project at the Electronic Journals Library in Regensburg. Before that he studied applied computer science at Chemnitz University of Technology.''' . frapo:hasORCID "0000-0002-6803-5299" . owl:sameAs . schema:affiliation [ a schema:Organization; schema:name "Deutsche Nationalbibliothek, Germany" ] . a schema:Person . schema:name "Sven Lieber" . schema:description '''Sven Lieber works as data manager for the Royal Library of Belgium (KBR) where he supports the improvement of data quality, mainly by using computational methods and Linked Data. Sven currently works for the BELTRANS project examining book translation flows in Belgium between French and Dutch in the period 1970-2020, involving the creation of a FAIR corpus of contemporary Belgian authors and their works. He studied Computer Science at the University of Freiburg in Germany and pursued a PhD related to Linked Data at the University of Ghent in Belgium. During his PhD, Sven worked in several national projects together with industry and academia applying the use of Linked Data. He published in the Semantic Web Journal and at major Semantic Web conferences such as ISWC or ESWC.''' . frapo:hasORCID "0000-0002-7304-3787" . owl:sameAs . schema:affiliation [ a schema:Organization; schema:name "Royal Library of Belgium (KBR), Belgium" ] . a schema:Person . schema:name "Klaus Tochtermann" . schema:affiliation [ a schema:Organization; schema:name "Director of ZBW - Leibniz Information Centre for Economics, Germany" ] . a schema:Person . schema:name "Lucia Sohmen" . schema:description '''Lucia Sohmen finished her M.A. in library and information science at the Humboldt-Universität zu Berlin in 2017. Since then, she has worked in various projects at the German National Library of Science and Technology’s Open Science Lab, including the development of an open access image search engine. She currently works on the NFDI4Culture project as a researcher and project coordinator. Her current interests are data modelling, data transformation and the wikiverse.''' . schema:affiliation [ a schema:Organization; schema:name "TIB – Leibniz Information Centre for Science and Technology, Germany" ] . a schema:Person . schema:name "Patrick Hochstenbach" . schema:description '''Patrick Hochstenbach is a digital architect at Ghent University Library and PhD researcher at the Knowledge on Web scale department of IDLab at Ghent University. He is currently researching decentralised communication systems using semantic web technologies. Patrick has been working for over 25 years in digital libraries in Europe and the United States. He was the creator or the SFX linking software in cooperation with Herbert Van de Sompel. He was involved in library standards such as OpenURL, the OAI-PMH Static RepositorY and the MPEG-21 Adore framework. He is also in the programming committee of the ELAG conference. Patrick has a background in physics and is also known as the artist of many FAIR and Research Data Management cartoons.''' . frapo:hasORCID "0000-0001-8390-6171" . owl:sameAs . schema:affiliation [ a schema:Organization; schema:name "Ghent University, Belgium" ] . a schema:Person . schema:name "Stacy Allison-Cassin" . schema:description '''Stacy Allison-Cassin is a Citizen of the Métis Nation of Ontario with kinship connections to the Georgian Bay Métis community, and Indigenous community in Canada. An Assistant Professor at the School of Information Management at Dalhousie University, Stacy engages in work and research related to metadata, knowledge organization, and Indigenous matters in libraries and the wider cultural heritage sector. She is also an active member of the Wikidata and open data community. Stacy is a passionate advocate for change in information structures and metadata systems within the library profession. She is the Chair of the International Association of Library Associations Indigenous Matters Standing Committee and the community chair for the Language Preservation and Instruction community and a member of Council of the National Indigenous Knowledge and Language Association, and Indigenous-led association centred in Canada. Stacy also has extensive professional experience as a librarian, serving in a variety roles in the libraries at York University. ''' . frapo:hasORCID "0000-0002-7507-5838" . owl:sameAs . schema:affiliation [ a schema:Organization; schema:name "Dalhousie University in Halifax, Canada" ] . a schema:Person . schema:name "José Calvo Tello" . schema:description '''José Calvo Tello works as a researcher and subject librarian at the Göttingen State and University Library responsible for Digital Humanities, Romance Studies, and History of Art. His research is focused on the application and development of computational methods such as Machine Learning and Natural Language Processing applied to Romance Literatures and library records.''' . frapo:hasORCID "0000-0002-1129-5604" . owl:sameAs . schema:affiliation [ a schema:Organization; schema:name "Göttingen State and University Library, Germany" ] . a schema:Person . schema:name "Alex Jahnke" . schema:affiliation [ a schema:Organization; schema:name "Göttingen State and University Library, Germany" ] . a schema:Person . schema:name "Jim Hahn" . schema:description '''As the first Head of Metadata Research at University of Pennsylvania Libraries, Jim works collaboratively across the Libraries, developing a vision for the services, technologies and policies to enhance discovery of collections, and incorporating international standards and best practices for linked data and metadata. He plays a critical role in the Penn Libraries’ participation in the LD4 community and the Share-VDE project, as well as developing future partnerships. Before coming to the Penn Libraries Jim worked at the University of Illinois at Urbana-Champaign. At the Illinois Libraries Jim had roles in technology focused research and in the development of creative uses of technologies in research libraries. He led a number of successful and novel grant projects which integrate library services and emerging technology. He holds an M.S. in Library and Information Science and a C.A.S. in Library and Information Science both from the University of Illinois at Urbana-Champaign. ''' . frapo:hasORCID "0000-0001-7924-5294" . owl:sameAs . schema:affiliation [ a schema:Organization; schema:name "University of Pennsylvania, United States of America" ] . a schema:Person . schema:name "Huda Khan" . schema:description '''Huda Khan works in software development at Cornell University. She is currently participating in the Linked Data: Closing the loop (LD4P3) grant with a focus on the use of linked data for enhancing discovery. Additionally, she has been involved with projects that employ Blacklight and GeoBlacklight. She has a joint Ph.D. in Computer Science and Cognitive Science from the University of Colorado at Boulder.''' . frapo:hasORCID "0000-0001-5156-4621" . owl:sameAs . schema:affiliation [ a schema:Organization; schema:name "Cornell University, United States of America" ] . a schema:Person . schema:name "Shu-Jiun Chen" . schema:description '''Sophy Shu-Jiun Chen is the Associate Research Fellow at the [Institute of History and Philology](https://www1.ihp.sinica.edu.tw/en), Academia Sinica, and also the Executive Secretary of [Academia Sinica Center for Digital Cultures](https://ascdc.sinica.edu.tw/) (ASCDC). She received her M.A. degree in Information Studies from the University of Sheffield, UK in 1997, and Ph.D. degree in Library and Information Science from the National Taiwan University in 2012. Dr. Chen is also an Adjunct Assistant Professor of Graduate Institute of Library, Information and Archival Studies, National Chengchi University. Her research interests include digital cultural heritage, metadata, ontologies, Linked Data, online exhibition, and digital humanities. She initiated the Research Project of [Chinese-language AAT](https://aat.teldap.tw/) (Art & Architecture Thesaurus) with the Getty Research Institute, USA since 2008, and the [Linked Open Data Lab in Aacdemia Sinica](https://lodlab.ascdc.tw/). ''' . frapo:hasORCID "0000-0003-4251-7633" . owl:sameAs . schema:affiliation [ a schema:Organization; schema:name "Institute of History and Philology, Academia Sinica, Taiwan" ] . schema:affiliation [ a schema:Organization; schema:name "Academia Sinica Center for Digital Cultures, Academia Sinica, Taiwan" ] . a schema:Person . schema:name "Paul Duchesne" . schema:description '''Paul Duchesne is a software engineer with the Open Science Lab at the Technische Informationsbibliothek in Hannover, specialising in Wikibase and Linked Open Data for cultural data. He is also an active member of the FIAF Linked Open Data Task Force, including contributing heavily to the forthcoming FIAFcore ontology for film archives.''' . schema:affiliation [ a schema:Organization; schema:name "TIB – Leibniz Information Centre for Science and Technology, Germany" ] . a schema:Person . schema:name "Zhuo Pan" . schema:description '''Zhuo Pan is a student employee at the University of Washington Libraries assigned to the MARC21-to-RDA/LRM/RDF Mapping Project, and a current Master of Library and Information Sciences student at the University of Washington Information School. Theodore and Zhuo are both contributors to the mapping work, and are leading authors of the transformation code, while Crystal is focused on project logistics and mapping work.''' . frapo:hasORCID "0000-0002-1934-6808" . owl:sameAs . schema:affiliation [ a schema:Organization; schema:name "University of Washington Libraries, United States of America" ] . a schema:Person . schema:name "Eduards Skvireckis" . schema:description '''Eduards Skvireckis is a data management expert at the National Library of Latvia and a Ph.D. student at the University of Latvia specializing in Neo-Latin literature. He is a researcher in the [RIGA LITERATA: Humanist Neo-Latin Heritage of Riga within European Respublica Literaria](https://www.rigaliterata.lv/) and the [Latvian Memory Institution Data in the Digital Space: Connecting Cultural Heritage](https://www.lnb.lv/en/projekts-latvijas-atminas-instituciju-dati-digitalaja-telpa-vienojot-kulturas-mantojumu) projects. His main interest is a knowledge representation at the abstract and theoretical level, focusing on cultural heritage and language data modeling, and knowledge organization systems.''' . frapo:hasORCID "0000-0003-2223-9744" . owl:sameAs . schema:affiliation [ a schema:Organization; schema:name "National Library of Latvia, Latvia" ] . a schema:Person . schema:name "Artem Reshetnikov" . schema:description '''Artem is a deep learning researcher at Barcelona Supercomputing Center. Being a researcher he received big experience in Computer Vision and Natural Language Processing and applying it to his work. All of his life he was curious about history and art and finished some online courses. For a long time, he was thinking about how to join his two main passions: machine learning and art. The solution is the project where he works now. Saint George on a Bike is a project about the enrichment of metadata of paintings using Deep Learning and NLP approaches. His current area of interest is the intersection of NLP and Deep Learning and applying semantic metadata for improving object detection and caption generation. He graduated from the Autonomous University of Barcelona in 2019 with a Master's Degree in Engineering. Before he worked for several commercial projects focused on Data Analysis, Computer Vision, and Anomaly detection in marketing and retails in such companies as Indra or Tecnocom in Spain. The projects mainly were based on the idea of applying deep learning in traffic counting using Computer Vision, analysis of time series data for anomaly behavior of clients. ''' . schema:affiliation [ a schema:Organization; schema:name "Barcelona Supercomputing Center, Spain" ] . a schema:Person . schema:name "Susanne Al-Eryani" . frapo:hasORCID "0000-0002-1741-1645" . owl:sameAs . schema:affiliation [ a schema:Organization; schema:name "Göttingen State and University Library, Germany" ] . a schema:Person . schema:name "Astrid Usong" . schema:description '''Astrid Usong is a User Experience Designer with Stanford Libraries. She works in Digital Library Systems and Services to create simple and engaging interfaces for catalogers and library patrons. Recent projects include Sinopia, the student and faculty interface for depositing to our digital repository, and the overhaul of our external library website. Prior to Stanford, she worked in financial services for 20 years.''' . frapo:hasORCID "0000-0003-4531-9747" . owl:sameAs . schema:affiliation [ a schema:Organization; schema:name "Stanford University, United States of America" ] . a schema:Person . schema:name "Beth Camden" . schema:description '''Since 2005, Beth Picknally Camden has been the Patricia and Bernard Goldstein Director of Information Processing, responsible for technical services at the University of Pennsylvania Libraries. Previously, she held positions at University of Virginia and University of Notre Dame. Beth holds a MS in Library Science from the Catholic University of America and a BA in English from the University of Notre Dame. She is involved in professional organizations including the American Library Association (ALA), ALA Core, and the Program for Cooperative Cataloging (PCC). Beth is chair of the PCC Standing Committee on Training (SCT) and a member of the PCC Policy Committee (PoCo). Beth is engaged in international linked-data initiatives, and chairs the Share-VDE Advisory Council. For additional information, please see: http://bpcamden.wordpress.com''' . frapo:hasORCID "0000-0003-4964-5312" . owl:sameAs . schema:affiliation [ a schema:Organization; schema:name "University of Pennsylvania, United States of America" ] . a schema:Person . schema:name "Martin Lovell" . schema:description '''Martin Lovell is a principal full stack developer at Yale University Library. Martin works at Yale Library developing systems for the digital library, discovery, library processes, and metadata conversion and management. He has been developing software for over 20 years.''' . schema:affiliation [ a schema:Organization; schema:name "Yale University, United States of America" ] . a schema:Person . schema:name "Jennifer Erin Proctor" . schema:description '''Ms Proctor is a PhD Candidate in Information Studies at the University of Maryland College Park. Her research focuses on increasing accessibility and diversity of digital collections using AI, Natural Language Processing, and Linked Data. Her favorite collections to work with include photography of daily life of underrepresented populations and preservation of lost and endangered languages.''' . frapo:hasORCID "0000-0001-9711-5485" . owl:sameAs . schema:affiliation [ a schema:Organization; schema:name "College of Information Studies, University of Maryland, United States of America" ] . a schema:Person . schema:name "Silke Schomburg" . schema:affiliation [ a schema:Organization; schema:name "Director of North Rhine-Westphalian Library Service Centre (hbz), Germany" ] . a schema:Person . schema:name "Theodore Gerontakos" . schema:description '''Theodore Gerontakos is the Head of the Metadata and Cataloging Initiatives Unit of the Cataloging and Metadata Services Department at the University of Washington Libraries, and is the project supervisor for the MARC21-to-RDA/LRM/RDF Mapping Project. ''' . frapo:hasORCID "0000-0003-1885-4840" . owl:sameAs . schema:affiliation [ a schema:Organization; schema:name "University of Washington Libraries, United States of America" ] . a schema:Person . schema:name "Tobias Malmsheimer" . schema:description '''Tobias has a M.Sc. in computer science and is currently responsible for the IT infrastructure in the [Japanese Visual Media Graph project](https://jvmg.iuk.hdm-stuttgart.de/).''' . schema:affiliation [ a schema:Organization; schema:name "Hochschule der Medien, Germany" ] . a schema:Person . schema:name "Daniel Scott" . schema:description '''Daniel is an associate librarian at Laurentian University in Canada. His research focuses on the intersection of linked data and libraries. He helped develop the Bibliographic Extensions for schema.org and implemented schema.org in the default Evergreen, Koha, and VuFind web UIs. With Stacy Allison-Cassin, Daniel was an early advocate for the adoption of Wikidata by libraries as a read-write linked data store, and he customized Evergreen to dynamically incorporate musician data from Wikidata into its detailed record display. Most recently, he helped assess the readiness for and understanding of BIBFRAME by Canadian librarians (short answer: not ready, very little understanding).''' . frapo:hasORCID "0000-0001-8438-4926" . owl:sameAs . schema:affiliation [ a schema:Organization; schema:name "Laurentian University Library and Archives, Canada" ] . a schema:Person . schema:name "Katherine Thornton" . schema:description '''Kat Thornton works in the Digital Perservation Department at Yale University Library. Kat has been a volunteer editor of the [Wikidata](https://www.wikidata.org/wiki/Wikidata:Main_Page) project for 10 years. Kat is a co-founder of [sciencestories.io](http://www.sciencestories.io/), a multimedia bibliography project celebrating the lives of scientists and people working in STEM.''' . frapo:hasORCID "0000-0002-4499-0451" . owl:sameAs . schema:affiliation [ a schema:Organization; schema:name "Yale University Library, United States of America" ] . a schema:Person . schema:name "Tina Trillitzsch" . schema:description '''[Tina Trillitzsch](https://leibniz-psychology.org/en/staff/profile-tina-trillitzsch/) works at the Leibniz Institute for Psychology (ZPID) in Germany. She is in charge of turning the PSYNDEX research literature database into Linked Open Data for the planned PsychPorta search portal, developing a metadata scheme based on BIBFRAME, coordinating the Linked-Data-friendlyness of the new cataloging software PSYNDEX2, and for the migration of existing database records to the new software. Moreover, she is responsible for controlled vocabularies in PSYNDEX, converting existing indexing schemes, creating new ones as needed and enabling their use in both PSYNDEX2, the PsychPorta portal, and the Linked Open Data knowledge graph that it is based on.''' . schema:affiliation [ a schema:Organization; schema:name "ZPID (Leibniz Institute for Psychology), Germany" ] . a schema:Person . schema:name "Eero Hyvönen" . schema:description '''[Eero Hyvönen](https://seco.cs.aalto.fi/u/eahyvone/) is professor of semantic media technology at the Aalto University, Department of Computer Science, and director of Helsinki Centre for Digital Humanities (HELDIG) at the University of Helsinki. A major recent theme (since 2001) in his research has been the Semantic Web and linked (open) data technologies. He has been developing with his Semantic Computing Research Group [(SeCo)](https://seco.cs.aalto.fi/ ) the [national semantic web infrastructure](https://seco.cs.aalto.fi/projects/lodi4dh/) in Finland and its [applications](https://seco.cs.aalto.fi/applications/sampo/) in different areas, such as Cultural Heritage and Digital Humanities. Eero Hyvönen has published some 500 research articles and books and has got several international and national awards. He acts in the editorial boards of several international journals and has co-chaired and acted in the program committees of tens of major conferences.''' . frapo:hasORCID "0000-0003-1695-5840" . owl:sameAs . schema:affiliation [ a schema:Organization; schema:name "Semantic Computing Research Group (SeCo), Aalto University, Finland" ] . schema:affiliation [ a schema:Organization; schema:name "Helsinki Centre for Digital Humanities (HELDIG), University of Helsinki, Finland" ] . a schema:Person . schema:name "Anna Kasprzik" . frapo:hasORCID "0000-0002-1019-3606" . owl:sameAs . schema:affiliation [ a schema:Organization; schema:name "ZBW – Leibniz Information Centre for Economics, Germany" ] . a schema:Person . schema:name "Ann Van Camp" . frapo:hasORCID "0000-0002-1915-5956" . owl:sameAs . schema:affiliation [ a schema:Organization; schema:name "Royal Library of Belgium (KBR), Belgium" ] . a schema:Person . schema:name "Hannes Lowagie" . frapo:hasORCID "0000-0002-0671-3568" . owl:sameAs . schema:affiliation [ a schema:Organization; schema:name "Royal Library of Belgium (KBR), Belgium" ] . a schema:Person . schema:name "Adrian Pohl" . schema:description '''Adrian ([\@acka47@openbiblio.social](https://openbiblio.social/@acka47)) has been working at the North Rhine-Westphalian Library Service Centre (hbz) in Cologne, Germany since 2008. He is leading the Open Infrastructure team whose work focuses on open standards, tools and processes for the publication of structured data on the web. Often collaborating with others, the Open Infrastructure team works on a wide range of services and tools: [lobid](https://lobid.org/index-en), [OER Search Index (OERSI)](https://oersi.org), [SkoHub](https://skohub.io), [Metafacture](https://metafacture.org), [NWBib](https://nwbib.de).''' . frapo:hasORCID "0000-0001-9083-7442" . owl:sameAs . schema:affiliation [ a schema:Organization; schema:name "North Rhine-Westphalian Library Service Centre (hbz), Germany" ] . a schema:Person . schema:name "L.P. Coladangelo" . schema:description '''L.P. Coladangelo (he/him) is a doctoral student in the College of Communication and Information at Kent State University in Kent, Ohio. He also currently serves as Project Manager of Digital Scriptorium 2.0, a project to redevelop a national union catalog of premodern manuscripts in U.S. collections as Linked Open Data. He holds an MLIS from Kent State University’s School of Information and a BA from Sarah Lawrence College in Bronxville, New York. His current research interests include knowledge organization of cultural heritage, metadata, information representation of folk traditions, digital humanities, semantic technologies, and the information and organizational behaviors of cultural heritage and leisure communities of practice.''' . frapo:hasORCID "0000-0003-1512-0649" . owl:sameAs . schema:affiliation [ a schema:Organization; schema:name "College of Communication and Information, Kent State University, United States of America" ] . a schema:Person . schema:name "Osma Suominen" . schema:description '''Osma Suominen is working as an information systems specialist at the National Library of Finland. He is currently working on automated subject indexing, in particular the Annif tool and the Finto AI service, as well as the publishing of bibliographic data as Linked Data. He is also one of the creators of the Finto.fi thesaurus and ontology service and is leading development of the Skosmos vocabulary browser used in Finto. Osma Suominen earned his doctoral degree at Aalto University while doing research on semantic portals and quality of controlled vocabularies within the FinnONTO series of projects.''' . frapo:hasORCID "0000-0003-0042-0745" . owl:sameAs . schema:affiliation [ a schema:Organization; schema:name "National Library of Finland, Finland" ] . a schema:Person . schema:name "Lozana Rossenova" . schema:description '''Lozana Rossenova (PhD, London South Bank University, UK) is a digital designer and researcher based in Berlin. In 2021, she completed a PhD degree at the Centre for the Study of the Networked Image in collaboration with Rhizome, a leading international born-digital art organization. Her research focused on questions related to data presentation and performativity in Linked Open Data environments. Rossenova is particularly interested in open source and community-driven approaches to digital infrastructure and archive design. She is an active member of the Wikidata and Wikibase open source development communities, and a Steering Committee member of OpenRefine, an open source data management tool with wide adoption in heritage, research and digital humanities communities. Currently she works as a Postdoc Researcher at the Open Science Lab in TIB Hannover, working on the NFDI4Culture project for a national research infrastructure of cultural heritage data.''' . frapo:hasORCID "0000-0002-5190-1867" . owl:sameAs . schema:affiliation [ a schema:Organization; schema:name "TIB – Leibniz Information Centre for Science and Technology, Germany" ] . a schema:Person . schema:name "Timothy A. Thompson" . schema:description '''Tim Thompson works as the Librarian for Applied Metadata Research at Yale University Library. As a metadata practitioner, his work focuses on the implementation of linked data standards and technologies in academic libraries. Over the past six years, he has been active in cooperative efforts such as the Linked Data for Production (LD4P) project.''' . frapo:hasORCID "0000-0001-6574-9010" . owl:sameAs . schema:affiliation [ a schema:Organization; schema:name "Yale University, United States of America" ] . a schema:Person . schema:name "Nuno Freire" . schema:description '''Nuno Freire holds a PhD in Informatics and Computer Engineering from the University of Lisbon. His main domain of interest is his cultural heritage, and works at the Europeana R&D, with research interests in novel methods for data aggregation, and in data modelling for the maintenance and evolution of the Europeana Data Model. He has been a member of the Program Committees of major international conferences in the area of digital libraries: JCDL (Joint Conference on Digital Libraries) and TPDL (Theory and Practice in Digital Libraries), SEMANTiCS and reviewer for the International Journal on Digital Libraries, and the Journal on Computing and Cultural Heritage.''' . frapo:hasORCID "0000-0002-3632-8046" . owl:sameAs . schema:affiliation [ a schema:Organization; schema:name "Europeana Foundation, Netherlands" ] . a schema:Person . schema:name "Petri Leskinen" . frapo:hasORCID "0000-0003-2327-6942" . owl:sameAs . schema:affiliation [ a schema:Organization; schema:name "Semantic Computing Research Group (SeCo), Aalto University, Finland" ] . a schema:Person . schema:name "Lukas Günther" . schema:affiliation [ a schema:Organization; schema:name "TIB – Leibniz Information Centre for Science and Technology, Germany" ] . a swc:ConferenceEvent, schema:Event . a swc:SessionEvent, schema:Event . schema:superEvent . schema:name "Machine Learning" . schema:startDate "2022-12-01" . a schema:CreativeWork . schema:featuredAt . schema:name "How are data collections and vocabularies teaching AI systems human stereotypes?" . schema:abstract '''Bias is a concept found in machine learning which means that the data which was used for training is in some way not representative of the real world and therefore the patterns or models that are generated are systematically skewed. While bias is a technical concept, fairness is a more social concept that can have direct implications for users. Hannes Hapke et al. define the concept of fairness as “the ability to identify when some groups of people get a different experience than others in a problematic way”. The authors illustrate the problem of fairness with an example of people who tend not to pay back their loans. If an AI model is trying to predict who should have their credit extended, this group of people should have a different experience than others, i.e. not have their credit extended. An example of a situation to avoid is when people whose application for a loan is unfairly turned down are predominantly of a certain race. Digitalization of CH objects for machine ingestion may have started for preservation reasons, but it allowed applying AI technology in order to extract knowledge that can improve user experience and be a valuable resource for GLAM. Generating digitalized data for AI use implies that it is annotated according to what is envisioned to be meaningful and relevant for future ML tasks; Iconclass is a great example. These annotations are the basis on which the AI models are built, thus whatever ideas and concepts were included in these structures can be recognized in the final AI model, which will reflect the possible original bias. Our presentation will show data collections of GLAM and vocabularies such as Iconclass containing prejudices against LGBT, gender inequality, or colonization stereotypes, and we will illustrate how these systems can embed these human stereotypes in AI generated data and why fairness is important for AI in GLAM.''' . schema:author . a schema:CreativeWork . schema:featuredAt . schema:name "Insight into the machine-based subject cataloguing at the German National Library" . schema:abstract '''The German National Library has the mandate to collect online publications published in Germany or in the German language, translated from German or relating to Germany. Our approach is to provide metadata including classification codes and subject headings to make them searchable and retrievable. To handle the amount of data, which increases by about 1–2 million records every year, we introduced machine-learning-based tools into productive operations in order to be able to assign GND index terms, DDC subject categories and DDC short numbers automatically. The first steps in that direction were taken more than ten years ago. In the last three years we have set up a project called "Erschließungsmaschine" ("indexing machine"; EMa) to replace the legacy system with a new modular and flexible architecture for automated subject cataloguing. The core component is the toolkit Annif developed by the National Library of Finland, which provides us with lexical, statistical and neural-network-based machine learning algorithms behind a unified interface. In this presentation we want to give practical insights into the architecture, main workflows, and quality measurements of EMa within our productive environment. We also talk about our experiences and challenges concerning both human and IT resources. Furthermore, we give a brief overview over the DNB AI project. The goal of the project is to look into state-of-the-art algorithms, text data, and vocabularies in order to improve the quality of subject cataloguing using AI methods.''' . schema:author . a schema:CreativeWork . schema:featuredAt . schema:name "Multilingual BERT for library classification in Romance languages using Basisklassifikation" . schema:abstract '''We apply the multilingual version of the language model BERT (mBERT) to predict classes from the library classification system Basisklassifikation (BK). We frame the present task as a multi-label classification problem, where each input instance (a library record) must be assigned at least one class from the BK. As input, we only use data from the catalogue, we do not use the full text of the publications. Three feature sets are considered: title only, bibliographic data only, and extended bibliographic data. We apply two algorithms: mBERT, which we fine-tune using raw text from different metadata fields as input. We also train a multi-label Support Vector Machine classifier with a vector based on the tokenizer of mBERT. We decided to work with records from Romance Studies because it challenges the perspective of considering only one or only a few languages, such as in national libraries. The dataset contains 189,134 library records associated with Romance Studies from the catalogue K10plus. The general results for the different approaches yield micro F1-scores between 0.6 and 0.8 (macro F1-scores between 0.2 and 0.4), with better performance for mBERT as classifier. In this presentation we will explore how these results are influenced by factors such as the language, specific classes, or the number of records per class. This is a promising approach for the generation of suggestions which should be considered by subject specialists.''' . schema:author . schema:author . schema:author . a swc:SessionEvent, schema:Event . schema:superEvent . schema:name "Linked Library Data II" . schema:startDate "2022-11-29" . a schema:CreativeWork . schema:featuredAt . schema:name "BIBFRAME for academic publishing in psychology" . schema:abstract '''PSYNDEX of ZPID is a publically funded reference database for psychological research literature from German-speaking countries. We are currently rewriting our cataloging and indexing software and exposing all PSYNDEX publication data as linked open data, the resulting BIBFRAME-based knowledge graph serving as the basis for our new search portal PsychPorta. This case study discusses our rationales, modeling difficulties, and tools and strategies for migration and transformation. Our cataloging software had accumulated many errors and problems over the years; we needed a modern, maintainable application. PubPsych, our search portal for researchers, teaching staff, practicing psychologists, and laypeople is also showing its age. To compete with commercial search engines, its successor PsychPorta needs to offer an improved, modern search experience while also providing persistent, open, interoperable, and reusable data. PSYNDEX has high indexing standards: scientific publications are described with many details about the actual studies they document, using various keyword thesauri, classification systems, controlled vocabularies for research methods and study samples, metadata about preregistration, funding etc. BIBFRAME has little to offer for such details. To represent all this data and make it usable by humans and machines, other ontologies must be integrated, and new properties and classes have to be created. A new requirement was grouping "versions" of the same content in different publication forms – thus the adoption of BIBFRAME Works and Instances. Our experiences may be useful to other domains with indexing needs not covered by BIBFRAME, and also offer guidance on where BIBFRAME seems vague or unfinished. Our approach to handling e.g. dependent parts of things (journal articles, chapters) or aggregates and serials may be reused, thus improving interoperability.''' . schema:author . a schema:CreativeWork . schema:featuredAt . schema:name "On leveraging artifical intelligence and natural language processing to create an open source workflow for the rapid creation of archival linked data for digital collections" . schema:abstract '''This paper proposes, tests, and evaluates an Artificial-Intelligence-supported workflow to enhance the ability of librarians and archivists to convert standardized metadata to better-than-item-level archival linked data. The protocol combines elements of computer vision with natural language processing, entity extraction, and metadata linking techniques to provide new approaches for findability and usability of cultural resources in digital spaces. Existing metadata and, optionally, images are taken as input. Metadata text is processed with natural language processing including sentenizing, tokenizing, part-of-speech tagging, chunking of phrases and clauses, and finally named entity recognition, extraction, and linking. Entities are used to query HIVE2, a search tool that matches ontology terms to linked data tags, which are then parsed into triples through semantic processing. For images, each image is processed to identify people who are pictured in it. Cropped sub-images are created for each person where each image is given a unique identifier to act as its primary linked data entity, and a first triple is created showing that that entity is depicted in the image being processed. Once the spreadsheet of triples is output, it can be imported into OpenRefine in order to convert it into the Wikidata format which is useful for linked digital collections, crowdsourcing, and cooperative collections-as-data programs.''' . schema:author . a schema:CreativeWork . schema:featuredAt . schema:name "Library data on Wikidata: a case study of the National Library of Latvia" . schema:abstract '''Libraries have changed but the core purpose of the library is very much the same – to give access to knowledge and learning. Knowledge organisation in libraries has moved from clay tablets to extensive catalogues, from the backs of playing cards to card indices. Then in the 1970s and early 1980s integrated library systems (ILS) appeared and changed the game. Now national libraries are increasingly stepping leaving locally used ILS behind and steering towards new technologies and possibilities that were not feasible before – bridging silos, multilingual support, alternatives to traditional authority control, etc. Although there is no right or prevailing answer, the direction is set. And that direction is toward the semantic web and linked data which are influencing how bibliographic and authority data are created, shared, and made available to potential users. In this presentation I will focus on modeling, mapping, and creating workflows for moving the bibliographic and authority data of the National Library of Latvia to Wikidata as a major hub of the semantic web. The main focus will be on modeling and integrating library authority files (persons, organizations, works, locations, etc.) to a full extent into Wikidata, reducing any possible data loss to a minimum. This way, Wikidata will not be used as just a hub for institutional identifiers but as a universal and collaborative knowledge base where libraries can truly share and disseminate their knowledge, connect it and use it to describe and query their resources.''' . schema:author . a swc:SessionEvent, schema:Event . schema:superEvent . schema:name "RDF Insights / Lightning Talks" . schema:startDate "2022-12-01" . a schema:CreativeWork . schema:featuredAt . schema:name "Lightning talks" . schema:abstract '''Use the opportunity to share your latest projects or ideas in a short lightning talk. Talks are registered after the start of the conference.''' . a schema:CreativeWork . schema:featuredAt . schema:name "Shapes, forms and footprints: web generation of RDF data without coding" . schema:abstract '''While browsing the Web a user is often confronted with a form requiring them to enter their personal data. We share book reviews on Goodreads; share our names, addresses and affiliations information with conference tools; submit our bibliography to institutional websites and centralized services such as ORCID. Filling out this information is a repetitive task for many users, using data that in principle should already be available in a knowledge graph somewhere. For the creation of (ad hoc) forms from scratch users do not have many options other than using platforms such as Google Forms which provide a limited set of input fields and a Google sheet as the end result, or asking their IT department to build a form which can require some time to implement and publish. During the COVID-19 pandemic many IT departments were asked to provide such ad hoc forms for all kinds of crowd sourcing where metadata was entered by library staff working from home. All these forms have hard-coded locations where the produced data needs to be stored, so a user has no choice in that matter. I will present an abstract way how RDF data can be read, updated, and stored in a decentralized way using RDF forms. The RDF data is defined by shapes, the forms are defined using a Form ontology, and the footprint (where to store the result) is also coded in RDF. All these inputs are web resources that declare to FormViewer apps how to read, update, and store data. An entire app can be written just by manipulating RDF resources, using the Solid protocol as persistence layer.''' . schema:author . a schema:CreativeWork . schema:featuredAt . schema:name "Performance comparison of select and construct queries of triplestores on the example of the JVMG project" . schema:abstract '''In the Japanese Visual Media Graph (JVMG) project ([Project blog](https://jvmg.iuk.hdm-stuttgart.de/), [JVMG web frontend (Beta)](https://mediagraph.link/)) we use the Resource Description Framework (RDF) to create a knowledge graph for researchers working with contemporary popular Japanese media. The project is funded by the German Research Foundation and the main project partners are Stuttgart Media University and Leipzig University Library. In order to easily access our RDF data we use a triplestore and SPARQL. We initially chose the Apache Fuseki triple store because of its open licensing terms and ease of installation and management. Once the database was completed to a certain degree, we implemented and tested our knowledge graph using different triplestore software solutions (Apache Fuseki, Blazegraph, Virtuoso and GraphDB) and compared their performance on several tasks that we consider representative operations on our data. These tasks include simple queries such as aggregating all data for a given entity and more complex analyses such as finding co-occurrence. We found major performance discrepancies, both between the different software solutions and between SELECT and CONSTRUCT SPARQL queries. Query times differ by factors of up to 100 across the software solutions, and CONSTRUCT queries consistently perform much worse, even when using the exact same WHERE patterns. In summary, the Apache Fuseki triple store performed quite well across all tasks. While some other software solutions were faster for some tasks, the gains were not significant enough to consider migrating our infrastructure to a new solution. ''' . schema:author . a swc:SessionEvent, schema:Event . schema:superEvent . schema:name "Linked Library Data I" . schema:startDate "2022-11-28" . a schema:CreativeWork . schema:featuredAt . schema:name "Mapping and transforming MARC21 bibliographic metadata to LRM/RDA/RDF" . schema:abstract '''The MARC21-to-RDA/LRM/RDF Mapping Project is an international, cross-organizational project that aims to broaden the adoption of the RDA/LRM/RDF ontology (that is, the Resource Description and Access implementation of the Library Reference Model using the Resource Description Framework). One premise of the project is that RDA-based values situated in the rich RDA/LRM/RDF context using RDA entities and relationships are more consistent and potentially more useful than when situated in less-granular formats such as BIBFRAME or non-graph-based metadata formats such as MARC21. The starting point of the project is MARC21 data accumulated over decades, and the potential to create a lossless conversion while at the same time creating high quality RDA/LRM/RDF has been a central concern. Once the mapping is complete, there is the expectation that abundant RDA/LRM/RDF datasets will be created and used to test the efficacy of RDA entities and relationships for specific uses. To that end, the project is producing an open-source, XSLT-based conversion tool that can process most MARC bibliographic data to output a close approximation of the intent of the mapping. Presenters describe the theoretical foundation of the project, review the mapping structure and format in detail, demonstrate the conversion tool with a focus on its RDA/LRM/RDF output, and share a vision for the future of RDA/LRM/RDF metadata in the greater library linked data ecosystem. Mappings, code, and project information can be found at [the project GitHub repository](https://github.com/uwlib-cams/MARC2RDA).''' . schema:author . schema:author . schema:author . a schema:CreativeWork . schema:featuredAt . schema:name "A crosswalk in the park? Converting from MARC 21 to Linked Art" . schema:abstract '''Yale University is currently undertaking a multiyear effort to create a cross-collections discovery environment called LUX, or “light,” from the university's Latin motto. LUX aggregates metadata from the catalogs of Yale’s four main collecting units, including the university library. The LUX platform has been designed using the [Linked Art](https://linked.art) (LA) profile of the CIDOC-CRM ontology as its common data model. Each collecting unit has developed a crosswalk from its local domain standard to the LA model. In the library, metadata librarians and software engineers have collaborated to develop and document a crosswalk from MARC 21 to LA JSON-LD. Implementing the crosswalk has meant designing a system that is more complex than a typical transformation. A single MARC record may be expanded into multiple top-level LA entities. In total, Yale’s 12.5 million catalog records translate into 47.5 million entities in LA. To implement the semantics of the LA model and manage data dependencies within and across MARC records, a new system was developed using Java and Spring Boot with Postgres. The system was designed to serve up LA entities, exposed through an activity stream, and to provide a framework for a modular set of transformation components. Generating linked data at scale was a new challenge for the library. The initial design used a database schema based on triples, with resolvable identifiers for all objects; this approach provided an intuitive way to create and query relationships without using a native triple store or graph database, given the learning curve that an unfamiliar system would have entailed. However, the triples-based approach proved too resource-intensive at scale, and the system was modified to store some data in JSON and resolve only top-level entities, while still storing a subset of the relationship data for querying.''' . schema:author . schema:author . a schema:CreativeWork . schema:featuredAt . schema:name "A LITL more quality: improving the correctness and completeness of library catalogs with a librarian-in-the-loop linked data workflow" . schema:abstract '''Traditionally, a library maintains both bibliographic data about publications and authority data about publication contributors such as authors or publishers. At the Royal Library of Belgium (KBR), we currently maintain more than 900,000 authority records about persons and metadata records of over 3.5 million publications. As an authoritative data source we are expected to have correct and complete data. In contrast to syntactical data quality issues – which can be detected automatically – issues regarding the correctness of data or completeness of the catalogue often require semantic checks, e.g., if the correct ISBN is used and if the nationality of the contributor is correct. However, the amount of Belgian cultural heritage data makes manual quality checks very time-consuming. Within the [BELTRANS project](https://github.com/kbrbe/beltrans-data-integration ) which studies Intra-Belgian book translation flows of publications based on metadata (who?, when?, where?), we developed an approach to support librarians in the detection and correction of semantic data issues. This approach consists in the integration of data from different heterogeneous sources via RDF and identifying contradicting data automatically with SPARQL. Librarians can inspect the contradicting data fields, choose the correct data, and thus semi-automatically correct the contradiction. This contribution describes the approach, which is implemented as a 5-step workflow using linked data and Python. We discuss how we use the workflow to improve the correctness of the data used in the BELTRANS project and the wider applicability of the workflow within the National Library to improve the completeness of our catalog with respect to legal deposit. Since the expertise of librarians is needed to interpret identified data contradictions, the next step is to improve the usability of our prototypical solution.''' . schema:author . schema:author . schema:author . a swc:SessionEvent, schema:Event . schema:superEvent . schema:name "Tutorials and Workshops" . schema:startDate "2022-11-30" . a schema:CreativeWork . schema:featuredAt . schema:name "An Introduction to SKOS and SkoHub Vocabs" . schema:abstract '''With Simple Knowledge Organization Systems (SKOS), the World Wide Web Consotrium (W3C) more than 15 years ago published a clear and simple RDF-based data model for publishing controlled vocabularies on the web following Linked Data principles. Although a large part of controlled vocabularies – from simple value lists, to thesaurus and classifications – is created and maintained in libraries, SKOS has not been widely adopted yet in the library world. This workshop gives an introduction to SKOS with hands-on exercises. Participants will create and publish their own SKOS vocabulary using GitHub/GitLab and SkoHub Vocabs, a static site generator for SKOS concept schemes.''' . schema:author . schema:author . a schema:CreativeWork . schema:featuredAt . schema:name "Getting Started with SPARQL and Wikidata" . schema:abstract '''Would you like to learn how to write SPARQL queries for the Wikidata Query Service? In this workshop we will demonstrate a variety of SPARQL queries that highlight useful features of the Wikidata Query Service. We will also practice writing SPARQL queries in a hands-on session. After participating in this workshop you will have familiarity with designing and writing your own SPARQL queries to ask questions of the Wikidata Query Service. All are wellcome to participate. No experience with SPARQL or Wikidata necessary.''' . schema:author . schema:author . a schema:CreativeWork . schema:featuredAt . schema:name "Getting started with Wikidata and SPARQL: build a dynamic web page" . schema:abstract '''In this workshop, you will learn how to explore and retrieve data from linked data stores such as Wikidata using the SPARQL Protocol and RDF Query Language (SPARQL). Starting from a simple selection of random data, you will create progressively complex SPARQL queries. As you practice each element of SPARQL, you will also learn the structure of Wikidata and the SPARQL extensions offered by the Wikidata Query Service. Finally, you will create a simple web page that, using your new knowledge of SPARQL, dynamically queries Wikidata to display data. After completing this workshop, you will know how to: 1) Write SPARQL queries to retrieve data from linked data stores such as Wikidata 2) Use the Wikidata Query Service to extract data from Wikidata, including SPARQL extensions specific to Wikidata, and 3) Dynamically incorporate data from any of Wikidata's 100 million items data into a web page No previous experience with SPARQL, linked data, or Wikidata, is required. To complete the web page portion of the workshop, some familiarity with HTML and JavaScript would be beneficial, but is not necessary. You must have some means of running a local web server to test your web pages, such as a standard install of the PHP or Python programming languages, or the Node.js runtime environment. ''' . schema:author . a schema:CreativeWork . schema:featuredAt . schema:name "Structured Data in Wikimedia Commons" . schema:abstract '''Since 2020, Structured Data on Wikmedia Commons (SDC) is on the way to completely renew the way of describing media files on the open and central media repository Wikimedia Commons. Instead of plain (unstructured) Wikitext media files can be described and categorized with structured data, in detail with both with properties and items out of Wikidata, the free knowledge graph. For all GLAM (Galeries. Libraries, Archives and Museums) institutions Wikimedia Commons is for a long time a good place to make the own collections even more publicly available and see the own materials reused e.g. in Wikipedia articles. With SDC there is a new technical way to describe all those data with the existing local metadata and to facilitate the reuse of the metadata edits and corrections made by the community. Media file descriptions based on linked data enable a completely new way to search and query for those data, in particular with federated query with the whole Wikidata knowledge graph. In this workshop a introduction in working with Structured Data on Wiki Commons is given. - SDC data model - Difference between "classical" commons image description with wikitext and SDC - Manual editing of SDC - Query SDC with SPARQL - Presentation of tool-based SDC editing (ISA-Tool, Image Positioning Annotation, OpenRefine) Prerequisites Please register at least 4 days before the Workshop as a Wikimeda User ([here](https://commons.wikimedia.org/w/index.php?title=Special:CreateAccount&returnto=Main+Page)) to have full access to all tools and editing capabilities.''' . schema:author . a schema:CreativeWork . schema:featuredAt . schema:name "Introduction into the Solid Project and its implementations" . schema:abstract '''This workshop will introduce the [Solid project](https://solidproject.org), the protocols and one of its implementations: the IMEC/Inrupt Community Solid Server [CSS](https://github.com/CommunitySolidServer/CommunitySolidServer). The Solid project promises a solution to get control of your own data and provides a choice who and which applications can have access to this data. The project was started as a response to the mass centralization of personal data by Internet platforms and the effects security breaches of these platforms had on manufacturing of public opinion. Although, the incentive of the project was based on a dissatisfaction with the centralization of personal information, the provided solution doesn't require a reboot of the Web. In the tradition of open standards, decentralized services and permissionless innovation, Solid build protocols to improve the current Web and not replace it. The core Solid protocols follow Semantic Web principles and apply it to management of (personal) data and documents. In this workshop we will discuss the principles behind Solid, the protocols and provides hands-on experience on the current state of the implementations. ''' . schema:author . a schema:CreativeWork . schema:featuredAt . schema:name "Introduction to the Annif automated indexing tool" . schema:abstract '''Many libraries and related institutions are looking at ways of automating their metadata production processes. In this hands-on tutorial, participants will be introduced to the multilingual automated subject indexing tool [Annif](https://annif.org) as a potential component in a library’s metadata generation system. By completing exercises, participants will get practical experience on setting up Annif, training algorithms using example data, and using Annif to produce subject suggestions for new documents. The participants are provided with a set of instructional videos and written exercises, and are expected to attempt to complete them on their own before the tutorial event. Exercises and introductory videos can be found in the [Annif-tutorial GitHub repository](https://github.com/NatLibFi/Annif-tutorial/). The actual event will be dedicated to solving problems, asking questions and getting a feeling of the community around Annif. Participants are instructed to use a computer with at least 8GB of RAM and at least 20 GB free disk space to complete the exercises. The organizers will provide the software as a preconfigured VirtualBox virtual machine. Alternatively, Docker images and a native Linux install option are provided. No prior experience with the Annif tool is required, but participants are expected to be familiar with subject vocabularies (e.g. thesauri, subject headings or classification systems) and subject metadata that reference those vocabularies. ''' . schema:author . schema:author . schema:author . schema:author . schema:author . a schema:CreativeWork . schema:featuredAt . schema:name "Working with linked open data in the context of annotation and semantic enrichment of 3D media: A new FOSS toolchain" . schema:abstract '''This workshop aims to help researchers, digital curators and data managers learn how to make datasets including 3D models and other media files available as linked open data within a collaborative annotation and presentation-ready environment. Participants will take part in practical demonstrations using an integrated toolchain that connects three existing open source software tools: 1) OpenRefine – for data reconciliation and batch upload; 2) Wikibase – for linked open data storage; and 3) Kompakkt – for rendering and annotating 3D models, and other 2D and AV media files. This toolchain and associated workflow was developed in the context of NFDI4Culture, a German consortium of research and cultural institutions working towards a shared infrastructure for research data that meets the needs of 21st-century data creators, maintainers and end users across the broad spectrum of the digital libraries and archives field, and the digital humanities. All components of the toolchain feature graphical user interfaces aiming to lower the barrier of participation in the semantic web for a wide range of practitioners and researchers. Furthermore, the toolchain development involves the specification of a common data model that aims to increase interoperability across datasets of digitised objects from different domains of culture. The workshop will be of interest to researchers, digital curators and information science professionals who work with datasets containing 3D media, and want to learn more about the possibilities of linked open data, open source software and collaborative annotation workflows.''' . schema:author . schema:author . schema:author . schema:author . schema:author . schema:author . a swc:SessionEvent, schema:Event . schema:superEvent . schema:name "LOD Applications" . schema:startDate "2022-12-02" . a schema:CreativeWork . schema:featuredAt . schema:name "Digital Scriptorium 2.0: toward a community-driven LOD knowledge base and national union catalog for premodern manuscripts" . schema:abstract '''Digital Scriptorium 2.0 (DS 2.0) is a project to redevelop the technical platform of a national union catalog of premodern manuscripts representing the full range of global manuscript cultures in US collections. This paper documents the development and implementation of a workflow for aggregating and transforming metadata records for premodern manuscripts in order to structure and publish them as linked open data (LOD). Strategies and practices for extracting, enhancing, and combining metadata from heterogeneous sources were explored. Data sources included library catalogs and other institutional data repositories, ranging from metadata in CSV files to XML-structured schemas. Automated scripts extracted and combined metadata by entity types for such entities as agents, places, materials, subjects, genres, languages, and date information recorded in catalog records as string values. Using OpenRefine, string values were reconciled to linked open databases and vocabularies such as Wikidata, FAST, and the Getty's AAT and TGN. This resulted in the creation of open-source metadata repositories to be used in the transformation of DS member metadata records into LOD for uploading into a shared knowledge base (Wikibase), thus semantically enriching existing cultural heritage metadata and enabling end user function like faceted search and SPARQL querying. This approach facilitated low institutional barriers to contribution as participating institutions did not have to alter their metadata records to contribute data and they retained control over their own catalog record formats and cataloging practices. The resulting database of heterogeneous, cross-institutional published LOD can be leveraged by the community of scholars, librarians, curators, and citizen scholars who participate in Digital Scriptorium to enhance and build upon existing knowledge about their collections.''' . schema:author . schema:author . schema:author . a schema:CreativeWork . schema:featuredAt . schema:name "The application of IIIF and LOD in digital humanities: a case study of the dictionary of wooden slips" . schema:abstract '''This study explores the use of the International Image Interoperability Framework (IIIF) and linked open data (LOD) in digital humanities with regard to different layers of interoperability. Focusing on imaged texts, it takes the text interpretation and slip restoration of the “Juyan Han Wooden Slips (202-220 CE)” as use case, integrates the demands of scholars in wooden slip research in the humanities, and establishes a digital research environment. By analysing and deconstructing historians’ work on character interpretation and manuscript restoration into discrete tasks and categories, the study proposes that the digital humanities research platform needs to be able to provide a complete, structured annotation function that allows input of annotated information from different knowledge fields. In addition, it needs to provide functionalities for reading, comparing, and referring to images, for example for the annotation of interpretations in wooden slip images, zooming in or out of image areas, or side-by-side image comparison for multiple wooden slip regions, which allow arguments about the context surrounding a character, to be displayed together in the image interface. The study has adopted the image, presentation and content search APIs of IIIF, and developed a LOD lifecycle framework in order to transform the legacy data into LOD, enable access and cross-referencing for these resources, and satisfy different needs in research. “The Wooden Slips Character Dictionary–Database of Juyan Han Wooden Slips from the Institute of History and Philology Collections" ([WCD](https://ndweb.iis.sinica.edu.tw/woodslip_public/System/Main.htm))” and the "[Multi-database Search System for Historical Chinese Characters](https://wcd-ihp.ascdc.sinica.edu.tw/union)" were taken as practical examples to explain how interoperability is utilised in systems for the digital humanities. ''' . schema:author . schema:author . a schema:CreativeWork . schema:featuredAt . schema:name "What linked data can tell about geographical trends in Finnish fiction literature – using the BookSampo knowledge graph in digital humanities" . schema:abstract '''[BookSampo](https://kirjasampo.fi) – a linked data (LD) service and portal for Finnish fiction literature – was launched in 2011 by the public libraries of Finland. Since then, the original knowledge graph (KG) has grown from 400,000 subjects to over 8,740,000, including literary works, authors, book covers, reviews, literary awards, along with other detailed semantic metadata. The portal, maintained by a team of Finnish librarians, has nearly 2 million annual users and its KG resides in a SPARQL endpoint. However, the potential of the KG has not been explored from a Digital Humanities (DH) research perspective where digital tools could help with knowledge discovery. This study presents novel data analyses on the BookSampo KG to demonstrate how LD can be used in DH studies, building on the concepts of distant reading and literary geography, i.e., the application of computational methods to study literature and its geographical dimension. Our work reveals and illustrates trends and biases in the development of Finnish literature based on semantic metadata. Focusing on novels and their geographical settings, the analyses show interesting annotation patterns related to genres and themes. Although the geographical diversity in fictional settings has increased over time, our results suggest that Finnish fiction literature still focuses on national settings and historical topics. Moreover, our digital perspective shows that the Finnish literary geography is biased by gender. Finally, we discuss to which extent the findings depend on the KG annotation practices, and how this potential meta-level bias should be addressed in the future.''' . schema:author . schema:author . schema:author . a schema:CreativeWork . schema:featuredAt . schema:name "Closing" . a swc:SessionEvent, schema:Event . schema:superEvent . schema:name "Conference Start" . schema:startDate "2022-11-28" . a schema:CreativeWork . schema:featuredAt . schema:name "Opening" . schema:author . schema:author . a schema:CreativeWork . schema:featuredAt . schema:name "Libraries, linked data, and decolonization (keynote)" . schema:abstract '''Global decolonization movements have focused attention on the colonial nature of cultural heritage. Events such as the toppling and removal of statues of colonial figures, the fight for the return of stolen artefacts and ancestors, and questions regarding the ownership and usage of historical photographs in cultural heritage collections are not new; such activities have gained momentum and greater prominence in public discourse in recent years. While less visible than tangible objects, tendrils and structures of colonialism run through data practices and standards. Such practices continue to harm peoples and lands that have been and continue to be, subject to colonialism. It is vital that linked data practice address this continued legacy and work toward anticolonial within contemporary library and cultural data work. What does decolonial (data) practice mean for linked data in the library and broader cultural data environment? Why does this matter for all individuals involved in linked data work? This talk will delve into issues facing the linked data community, including the limitations of current standards and systems, the vital need for change in practice, the importance and implications of recognizing Indigenous rights and rights of nations and states, and opportunities on the horizon with emerging standards and principles such as [CARE](https://www.gida-global.org/care) and projects related to respectful naming. The talk will also focus on concrete actions the library linked data community can take to support decolonization and a more just and ethical future for linked data. ''' . schema:author . a swc:SessionEvent, schema:Event . schema:superEvent . schema:name "Continued Progress" . schema:startDate "2022-11-29" . a schema:CreativeWork . schema:featuredAt . schema:name "New, newer, newest: incrementally integrating linked data into library catalog discovery" . schema:abstract '''We are exploring how the use of linked data can enhance discovery in library catalogs as we design, evaluate, prototype, and integrate linked data solutions as part of the Linked Data for Production: Closing the Loop (LD4P3) grant. In one phase of this grant, we linked data to supplement information about authors and subjects in the Cornell production library catalog. This integration used data from Wikidata, DBpedia, and the Library of Congress (LOC) linked data service. We used feedback from user studies and from our library catalog user representatives team to implement and refine these features. In a separate phase, we focused on how the linked data representation of creative works and related information could be integrated into a discovery layer. We examined how works are aggregated in multiple BIBFRAME representations of library catalog data, such as the Library of Congress Hubs and ShareVDE BIBFRAME conversion of library data, and how these aggregations may help us identify relationships between library catalog records. In addition to this data analysis, we also implemented a prototype of the Cornell library catalog which uses BIBFRAME relationships to display related items to the user. We used Sinopia, the linked data cataloging editor being developed as part of LD4P3, to define these relationships. One of the outcomes of this phase is a better understanding of how these linked data sources can demonstrate linkages between library catalog items representing the same or related works. This presentation will provide an overview of the production integration from the first phase and the data analysis and experimental prototype from the second phase. This work is further described [here](https://wiki.lyrasis.org/display/LD4P3/WP3%3A+Discovery). Related work is also captured in [this article](https://kula.uvic.ca/index.php/kula/article/view/229) .''' . schema:author . schema:author . schema:author . a schema:CreativeWork . schema:featuredAt . schema:name "Improving language tags in cultural heritage data: a study of the metadata in Europeana" . schema:abstract '''Enhancing the multilingual accessibility of its rich cultural heritage material is a constant objective of Europeana and key to improving the user experience it offers. Technological advances are opening new ways for multilingual access but for their successful application the language of the existing data must be identified. In RDF data, language is indicated by the language tag in a dedicated attribute (xml:lang in RDF/XML). Previous studies conducted on Europeana datasets show that language tags are not used as often as they should, but we do not have precise statistics on this. Moreover, language tags found in Europeana have data quality issues – they do not always follow established standards even though Europeana already performs some (automatic) normalisation of tags. We conducted a study on the language tags included in the metadata of Europeana with two objectives in mind: First, to inform decision-making about possible improvements in the current language tag normalisation process, and second, to enhance the quality and quantity of training data for specialising automatic translation systems in the cultural heritage domain (a crucial objective for the Europeana Translate project, which aims to translate 25 million records of Europeana). Our study analysed the totality of the data in Europeana, which contains over 1,700 million RDF literals, and identified that only 15.9% of the literals are language-tagged. We also determined that 3.3% of the language tags are not valid according to the IETF BCP 47 standard. In our presentation, we recount the results of this study along with the improvements in the normalisation process we applied to collect training data for machine translation. ''' . schema:author . schema:author . schema:author . schema:author . schema:author . a schema:CreativeWork . schema:featuredAt . schema:name "Evaluation and evolution of the Share-VDE 2.0 linked data catalog" . schema:abstract '''Share-VDE (SVDE) is a library-driven initiative which brings together the bibliographic catalogs and authority files of a community of libraries in an innovative discovery environment based on linked data. The beta release of the SVDE 2.0 (https://www.svde.org) catalog was collaboratively shaped among multiple perspectives and stakeholder groups. A team at the University of Pennsylvania Libraries gathered feedback through structured interviews and observations from library catalogers working in linked data, university faculty, and new undergraduate students in order to understand how linked data supports user tasks promulgated in the IFLA Library Reference Model (IFLA-LRM). Specific user tasks evaluated over remote testing sessions include ascertaining how library catalogers make use of advanced search functionality provided in the linked data interface. Context finding tasks included evaluating how Penn catalogers might find a linked data search useful for providing context to their searching or for helping to understand a research area. Specific LRM mapping focused on the LRM Identify user task; particularly disambiguation of similar name results. For comparative results similar questions are posed to students and faculty. Several targeted questions of faculty included understanding the relationships in linked data that are useful for future research planning using linked data search. In compiling results of the study we describe the linked data functionality and scenarios which the Share-VDE 2.0 discovery system addresses and the ways in which user feedback is supporting the evolution of linked data discovery. We will show how we have evolved the system to align with user needs based on evaluations across multiple stakeholder groups.''' . schema:author . schema:author . schema:author . schema:author . a swc:SessionEvent, schema:Event . schema:superEvent . schema:name "Collocated Events" . schema:startDate "2022-11-28" . a schema:CreativeWork . schema:featuredAt . schema:name "DINI-AG KIM meeting" . schema:abstract '''DINI-AG Kompetenzzentrum Interoperable Metadaten (KIM) virtual public meeting of the DINI-AG KIM. KIM is a forum for German-speaking metadata experts from LAM institutions. The Meeting will be held in German. Everybody is invited to come. [Agenda](https://wiki.dnb.de/x/UKR5Dw )''' . schema:author . schema:author .