This document summarizes a workshop on linking library data. It introduces linked data and key technologies used for linking such as URIs, RDF, and SPARQL. It discusses challenges in linking data like finding suitable datasets to link, encouraging others to link to your data, determining link quality, and maintaining links over time. Finally, it briefly introduces the Silk framework for interlinking data and having participants discuss practical linking of library data.

1. Linking Library Data ELAG 2011 Workshop Jindřich Mynarz @ jindrichmynarz

2. linked data is sooo 2009

3. Workshop Introduction Motivation Involved technologies Discussion Key questions Potential issues Practical linking Shared document: bit.ly/linking-library-data Twitter hashtag: #elag2011

4. conversion lots about

5. linking little about

6. library links

10. raw data

11. linked data

12. Key technologies URIs RDF SPARQL Linked data

13. URIs U niform R esource I dentifiers <http://example.com> &quot;Cool URIs&quot; resolvable stable implement content negotiation

14. Learn how the RDF looks like Data format for formalizing directed graphs . Standard for data interchange on the Web. Unit of RDF is a triple .

15. Step 1: a triple

16. Step 2: triples

17. Step 3: a graph

18. Linking Open Data cloud diagram, by Richard Cyganiak and Anja Jentzsch. http://lod-cloud.net/ Step 4: linked data

19. Learn how to SPARQL Query language for RDF PREFIX ex: <http://example.com> SELECT [DISTINCT] ?what [FROM ?where] WHERE { ?triplePattern } [LIMIT ?limit] [ORDER BY ?variable]

20. Linked data Use URIs as names for things Use HTTP URIs so that people can look up those names. When someone looks up a URI, provide useful information , using the standards (RDF, SPARQL) Include links to other URIs. so that they can discover more things.

21. Linking data linking... is a continuous integration of heterogeneous dataspaces? creates context ? is a job for librarians ? Or machines ? is good ?

22. @href is a blunt instrument

23. typed links

24. = identity ~ similarity > hierarchy ? aboutness typed links

25. Discussion How to find datasets suitable for interlinking? How to make my dataset worth linking to ? How to encourage others to link to my data? What is the added value of links? How to determine the quality of a link? How to maintain links?

26. find and examine data

27. added value of links

28. link baiting

29. link maintenance

30. Linking Record linkage, identity resolution, duplicate detection, instance matching , co-reference detection Determinism: Deterministic (e.g., dictionary-based) Probabilistic (e.g., graph matching) Level: Schema (e.g., ontology mapping) Instances (e.g., record linkage)

31. Linking Untyped links to typed links. Literals to links. Links to other links.

32. Interlinking with Silk Silk is an interlinking framework for instance matching . Uses the link specification language to describe the interlinking process. Powerful and relatively easy-to-use.

33. Link specification language Your turn!

34. connect the dots

35. get this

36. or this

37. the end.