OCLC Linked Data Research
Linked Data is about communities agreeing on the meaning of their data and sharing it in a massively networked information space. This vision is taking shape in many sectors, including e-commerce, medicine, scientific research, and government services. OCLC Research is a leader in driving this transformation in the library community.
Among librarians, Linked Data research is an exploration of how our most important data can be re-engineered from databases of records comprehensible only to libraries to more broadly understandable collections of facts about entities, or culturally important people, places, organizations, events, and concepts with names such as Albert Einstein, Paris, Universiteit van Amsterdam, World War II, and black holes. In this form, our data can be linked with that of scientists and other professions—boosting the visibility and relevance of libraries, while conferring the library’s authority on the work of others.
Linked Data research at OCLC addresses the following objectives:
- Evaluating Linked Data and associated Semantic Web technologies as a technical platform for publishing and managing RDF datasets at a commercial scale.
- Modeling key entities in the domain of librarianship (such as Person and Work) and populating them with original descriptions and/or data converted from MARC.
- Extending models to include resources not described very well in MARC, such as the contents of institutional repositories, digital collections, and art objects.
- Improving the description of works and their translations.
- Managing the transition from MARC and other legacy library standards.
- Developing prototypes that consume Linked Data natively, demonstrating improved resource-description workflows and end-user discovery experiences.
- Teaching and training.
OCLC Next blog posts
- Tennant, Roy. Getting Started with Linked Data. 08 February 2016.
- Mixter, Jeff. Turning Library Bibliographic Metadata into Actionable Knowledge. 29 February 2016.
- Tennant, Roy. Putting Linked Data to Work. 30 March 2016.
- Godby, Jean. Library Linked Data in the Cloud: From Proof of Concept to Action. ASIS&T Meet the Author Webinar, 12 January 2017.
- Godby, Jean, and Karen Smith-Yoshimura. How You Can Make the Transition from MARC to Linked Data Easier. OCLC Research TAI CHI Webinar, 5 November 2015.
- Washburn, Bruce and Jeff Mixter. Looking Inside the Library Knowledge Vault. OCLC Research Works in Progress Webinar. 12 August 2015.
Community Discussion and Standards Initiatives
- PCC (Program for Cooperative Cataloging) Task Groups: 2015-present.
- Task Group on URIs in MARC
- Bremer, Robert, Steven Folsom, Jean Godby, Les Hawkins, Chew Chiat Naun, Adam Schiff, Jackie Shieh and Gary Strawn. 2017. PCC-URI TG 20170415 [Task Group Report dated April 15, 2017]. https://www.loc.gov/aba/pcc/bibframe/TaskGroups/PCC_URI_TG_20170415_Report.pdf.
- Deliot, C., N. Fallgren, S. Folsom, J. Godby, N. Lorimer and J. Shieh. 2017. “MARC Proposal No. 2017-18: Use of Subfields $0 and $1 to Capture Uniform Resource Identifiers (URIs) in the MARC 21 Formats. [Approved by the MARC Advisory Committee, June 2017.] https://www.loc.gov/marc/mac/2017/2017-08.html.
- PCC SCS/LDAC Task Group on the Work Entity
- Task Group on URIs in MARC
- VRA (Visual Resources Association) Linked Data Task Force.
- Shareable Local Authorities, IMLS planning grant awarded to Cornell University; Chew Chiat Naun, Principal Investigator. 2016-2017.
- Advisory board member for the Mellon-funded project “Benefits of Linked Open Data for Digitized Special Collections.” Awarded to the University of Illinois at Urbana-Champaign. 2016-present.
- Godby, Carol Jean. 2016. “A Division of Labor: The Role of Schema.org in a Semantic Model of Library Resources.” In Linked Data for Cultural Heritage. An ALCTS Monograph, edited by Ed Jones and Michele Seikel. Chicago, IL: ALA Editions, an imprint of the American Library Association. http://www.oclc.org/content/dam/research/publications/2017/godby-division-of-labor-2017.pdf.
- Godby, Jean and Karen Smith-Yoshimura. 2017. “From Records to Things: Managing the Transition from Legacy Library Metadata to Linked Data.” Bulletin of the Association for Information Science and Technology. 43 (2): 18-23. https://www.asist.org/publications/bulletin/decemberjanuary-2017/from-records-to-things-managing-the
- Lampron, Patricia, Jeff Mixter and Myung-Ja K Han. 2016. “Challenges of Mapping Digital Collections Metadata to Schema. org: Working with CONTENTdm.” In Metadata and Semantics Research: 10th International Conference, MTSR 2016, Göttingen, Germany, November 22-25, 2016, Proceedings, edited by Emmanouel Garoufallou, Imma Subirats Coll, Armando Stellato and Jane Greenberg,181-186. Cham, Switzerland: Springer International Publishing. doi:10.1007/978-3-319-49157-8.
- Godby, Carol Jean, and Ray Denenberg. 2015. Common Ground: Exploring Compatibilities Between the Linked Data Models of the Library of Congress and OCLC. Dublin, Ohio: Library of Congress and OCLC Research. http://www.oclc.org/content/dam/research/publications/2015/oclcresearch-loc-linked-data-2015.pdf
- Godby, Carol Jean, Shenghui Wang and Jeffrey K. Mixter. 2015. Library Linked Data in the Cloud: OCLC's Experiments with New Models of Resource Description. Synthesis Lectures on the Semantic Web: Theory and Technology, edited by Ying Ding and Paul Groth. San Rafael: Morgan & Claypool. doi:10.2200/S00620ED1V01Y201412WBE012.
- Mixter, Jeff 2014. Using a Common Model: Mapping VRA Core 4.0 Into an RDF Ontology. Journal of Library Metadata. 14 (1): 1-23. doi:10.1080/19386389.2014.891890.
- Mixter, Jeff, Patrick OBrien, and Kenning Arlitsch. 2014. “Describing Theses and Dissertations Using Schema.org.” In DCMI’14 Proceedings of the 2014 International Conference on Dublin Core and Metadata Applications, Austin, Texas, October 8-11, 2017, edited by William Moen and Amy Rushing, 138-146. Dublin Core Metadata Initiative. http://dcpapers.dublincore.org/pubs/article/view/3715/1938.
- Godby, Jean. OCLC’s Work on Works. Presentation at the BIBFRAME Update Forum at ALA Midwinter Conference, 22 January 2017, Atlanta, GA (USA). Presented by Roy Tennant.
- Godby, Jean, and Diane Vizine-Goetz. BIBFRAME and OCLC Works: Defining Models and Discovering Evidence. Presentation at the BIBFRAME Update Forum at ALA Annual Conference, 25 June 2017. Chicago, IL (USA).
- Mixter, Jeff. Linking Your Data. Presentation at the Canadian Linked Data Summit, 24-25 October 2016, Montréal (Canada).
- Smith-Yoshimura, Karen. Linked Data—Bringing the World Closer Together. Presentation at the ALIA Information Online 2017 Conference, 15 February 2017, Sydney, NSW (Australia).
- Smith-Yoshimura, Karen. Challenges of Multilingualism (.pptx). Presentation at the Visualizing Digital Humanities workshop, 21 June 2017, Lorentz Center, Leiden (Netherlands).
- Tennant, Roy. Data Designed for Discovery (.pptx). Presentation at the IATUL (International Association of University Libraries), 20 June 2017, Bolzano (Italy).
Linked Data Survey, Part 2 (2015)
- Smith-Yoshimura, Karen. Analysis of International Linked Data Survey for Implementers. 2016. DLIB Magazine. July/August 2016. doi:10.1045/july2016-smith-yoshimura.
- Smith-Yoshimura, Karen. Linked Data Implementations—Who, What and Why? (.pptx) 2016. Presentation at the CNI (Coalition for Networked Information) Spring Membership meeting, 4 April 2016. San Antonio, Texas (USA).
- Smith-Yoshimura, Karen. What's Changed In Linked Data Implementations? HangingTogether.org (blog).
Linked Data Survey, Part 1 (2014)
- OCLC Research Linked Data Survey Results (.xlxs)
- Karen Smith-Yoshimura. OCLC hangingtogether.org blog series:
- Linked Data Survey results 1 – Who’s doing it
- Linked Data Survey results 2 – Examples in production
- Linked Data Survey results 3 – Why and what institutions are consuming
- Linked Data Survey results 4 – Why and what institutions are publishing
- Linked Data Survey results 5 – Technical details
- Linked Data Survey results 6 – Advice from the implementers
- Addressing the Challenges of Organizational Identifiers and ISNI
- Multilingual Bibliographic Structure
- Registering Researchers
Most recent updates: Page content: 2017-09-19