1. CNI Spring 2016 Membership Meeting San Antonio TX Linked Data Implementations— Who, What and Why? Karen Smith-Yoshimura OCLC Research

2. International Linked Data Surveys for Implementers

3. 201 4 48 2015 71 Number of institutional responses Both 29

4. Geographic breakdown of 90 responding institutions 20 countries represented

5. Responding institutions by type

6. 2015 responding institutions by type

7. 20152014 Not yet in production3727 Less than one year1913 More than one year, less than two years 1012 More than two years4624 How long linked data project or service in production Total112 76

8. 20152014 Consume linked data 3825 Publish linked data 104 Both consume & publish 6447 How linked data is used

9. Reasons for publishing linked data20152014 Expose to larger audience on the Web6745 Demonstrate what could be done with datasets as linked data5941 Heard about linked data and wanted to try it out by exposing our data as linked data.4321 See if publishing linked data would improve our Search Engine Optimization (SEO.)299

10. Types of data published as linked data

11. SOME EXAMPLES IN PRODUCTION

12. North Rhine-Westphalian Library Service Center

13. http://www.lib.ncsu.edu/ld/onld/

15. http://bnb.data.bl.uk

16. http://kn.ndl.go.jp/

19. https://linkedjazz.orghttps://linkedjazz.org/

20. Barriers to publishing linked data2015 Steep learning curve for staff40 Inconsistency in legacy data33 Selecting appropriate ontologies to represent our data31 Establishing the links27 Little documentation or advice on how to build the systems21

21. Reasons for consuming linked data20152014 Provide our users with a richer experience.5135 Enhance our own data by consuming linked data from other sources.5037 More effective internal metadata management.3216 Greater accuracy and scope in our search results2712 See if consuming linked data would improve our Search Engine Optimization (SEO).1912 Experiment with combining different types of data into a single triple store.1715 Heard about linked data and wanted to try it out by using linked data sources.1713

22. 2015 linked data sources most consumed2015 VIAF (Virtual International Authority File)41 DBpedia36 GeoNames35 id.loc.gov35 Resources we convert to linked data ourselves17 Getty's AAT16 FAST (Faceted Application of Subject Terminology)15 WorldCat.org15 data.bnf.fr 12 Deutsche National Bib Linked Data Service12

23. PROFILES OF MOST CONSUMED SOURCES CITED

24. VIAF http://viaf.org Combines multiple name authority files into a single OCLC-hosted name authority service. More than 100,000 requests/day Size: 500 million – 1 billion triples Consumes: GeoNames id.loc.gov ISNI Wikidata WorldCat.org WorldCat.org Works RDF Vocabularies/Ontologies: Bibliographic Ontology Dublin Core & DC Terms FOAF Owl 2 Web ontology RDF schema Schema.org SKOS

25. id.loc.gov Enables developers to interact with vocabularies found in data & standards promulgated by LC as linked data. More than 100,000 requests/day Size: 100 million – 500 million triples Consumes: AGROVAC data.bnf.fr DNB’s Linked Data Service id.loc.gov VIAF Wikidata WorldCat.org Works Resources we convert to linked data ourselves RDF Vocabularies/Ontologies: BibFrame FOAF MADS/RDF RDF schema SKOS

26. Getty’s AAT http://vocab.getty.edu A structured vocabulary for generic concepts related to art and architecture. More than 100,000 requests/day Size: 10 million – 50 million triples Consumes: None RDF Vocabularies/Ontologies: Bibliographic Ontology Dublin Core & DC Terms FOAF Local vocabulary Owl 2 Web ontology language RDF schema SKOS

27. FAST http://id.worldcat.org/fasthttp://id.worldcat.org/fast/ Adapts LC Subject Headings with a simplified syntax to retain LCSH’s rich vocabulary while making the schema easier to understand, control, apply and use. 10,000 – 50,000 requests/day Size: 10 million – 50 million triples Consumes: DBpedia GeoNames id.loc.gov VIAF RDF Vocabularies/Ontologies: Dublin Core & DC Terms FOAF Schema.org SKOS WSGS84 Geo Positioning

28. WorldCat.org OCLC has made WorldCat.org bibliographic metadata experimentally available in linked data form. More than 100,000 requests/day Size: 15 billion triples Consumes: DBpedia FAST VIAF WorldCat.org RDF Vocabularies/Ontologies: Dublin Core FOAF Schema.org SKOS

29. data.bnf.fr Make the data produced by the Bibliothèque nationale de France more useful on the Web. 10,000 – 50,000 requests/day Size: 100 million – 500 million triples Consumes: AGROVAC data.bnf.fr DBpedia DNB’s Linked Data Service GeoNames id.loc.gov ISNI VIAF http://datos.bne.es (+ others)http://datos.bne.es RDF Vocabularies/Ontologies: Bibliographic Ontology Biographical Ontology Dublin Core & DC Terms FOAF FRBR ISNI Music Ontology OAI ORE Terms Owl 2 Web ontology RDA RDF schema SKOS WSGS84 Geo Positioning …

30. DNB’s Linked Data Service http://www.dnb.de/EN/lds Publishes authority and bibliographic data in RDF to make the data accessible to the semantic Web community with no need to know library-specific metadata schemes. Size: 100 million – 500 million triples Consumes: None RDF Vocabularies/Ontologies: Bibliographic Ontology Dublin Core & DC Terms FOAF ISBD Owl 2 Web ontology language RDA RDF schema SKOS

31. Barriers to consuming linked data2015 Matching, disambiguating and aligning source data and linked data resources23 Mapping of vocabulary17 What's published as linked data is not always reusable or lacks URIs16 Lack of authority control15 Datasets not being updated14 Size of RDF dumps12 Understanding how data is structured before using it12

32. What would you do differently?2015 Have more time allocated for its development38 Would do nothing differently30 Get more staff28 Get wider organizational support23 Have more realistic expectations12

33. Focus on what you want to achieve, not technical stuff. Build on what you have that others don’t. Pick a problem you can solve. Model data that solves your use cases. Consider legal issues from the beginning. Read as widely as possible, consult community experts. Have a good understanding of linked data structure, available ontologies and your own data. Strive for long-term data reconciliation & consolidation. Involve your institution/community. Experiment and start small. Start now! Just do it! Advice from the implementers

34. Full details of responses http://www.oclc.org/content/dam/research/activities/linkeddata/oclc-research- linked-data-implementers-survey-2014.xlsx

35. SM Together we make breakthroughs possible. Thank you! Contact: Karen Smith-Yoshimura CNI Spring 2016 Membership Meeting, San Antonio TX 4 April 2016 smithyok@oclc.org @KarenS_Y ©2016 OCLC. This work is licensed under a Creative Commons Attribution 4.0 International License. Suggested attribution: “This work uses content from Linked Data Implementations—Who, What and Why? © OCLC, used under a Creative Commons Attribution 4.0 International License: http://creativecommons.org/licenses/by/4.0/.”