Presentation at Society of Indexers 2010 Conference, 30 september 2010, Middelburg

1. Eric Sieverts Media, information & communication Amsterdam University of Applied Sciences / Section Innovation & Development University Library Utrecht A pair of shoes in the thesaurus reflexions on human and computer indexing Society of Indexers Conference 2010 The challenging future of indexing 30 September 2010, Middelburg

5. search, search, search, search, search, ...... searcher / query documents match the basic search-and-find paradigm Eric Sieverts | e.g.sieverts@uu.nl | e.g.sieverts@hva.nl | http://www.library.uu.nl/medew/it/eric | Middelburg 30-9-2010

8. Want to know something about " hallenkerken " (Dutch for "hall church") thru Google Books? Google's first hit is a book about building thesauri, containing the word in a single example of broader and narrower terms

10. match classical situation with controlled human indexing searcher must enter the "term(s)" that have been used to characterize the subject indexer must assign “correct” terms to characterize the document in principle perfect match is possible Eric Sieverts | e.g.sieverts@uu.nl | e.g.sieverts@hva.nl | http://www.library.uu.nl/medew/it/eric | Middelburg 30-9-2010 search, search, search, ......

11. match not user-friendly: searcher has to invent the correct terms expensive: indexers must analyze the document in order to assign the correct terms however Eric Sieverts | e.g.sieverts@uu.nl | e.g.sieverts@hva.nl | http://www.library.uu.nl/medew/it/eric | Middelburg 30-9-2010 search, search, search, ...... classical situation with controlled human indexing

12. search in the world of searcher just types some words (or often only one single word) search system contains (all) the words from the documents themselves often you don't find all you need - still satisfied ? match Eric Sieverts | e.g.sieverts@uu.nl | e.g.sieverts@hva.nl | http://www.library.uu.nl/medew/it/eric | Middelburg 30-9-2010 search, search, search, ......

14. language technology at searcher side original simple query expanded & disambiguated statistics generate additional terms to refine queries search system contains just the words from the documents themselves improved queries will result in better answers ? match Eric Sieverts | e.g.sieverts@uu.nl | e.g.sieverts@hva.nl | http://www.library.uu.nl/medew/it/eric | Middelburg 30-9-2010 search, search, search, ......

17. language technology at the document search with "correct" or “important” terms language technology enriches document with "correct" term (from thesaurus) or derives characteristic terms from the text in principle perfect match is possible match Eric Sieverts | e.g.sieverts@uu.nl | e.g.sieverts@hva.nl | http://www.library.uu.nl/medew/it/eric | Middelburg 30-9-2010 search, search, search, ......

18. automatic classification

20. The Calais Web Service automatically creates rich semantic metadata Named Entities Facts Events

21. geographical recognition in Google Books

22. training a system thesaurus training documents analysis module “ finger- prints” training module enrichment of thesaurus  Joop van Gent, Irion

23. classification with system enriched thesaurus new documents analysis module “ finger- prints” classification module  Joop van Gent, Irion enriched documents

24. endgame tips: checkmate with bishop and knight (in Dutch: "horse" ) chess equestrianism

25. knowledge organization systems metadata: more than keywords or thesauri ?

29. relations between some concepts in a simple "wine ontology"

30. example of the relations between concepts about the statue of Balzac by Rodin [in CIDOC-CRM]

31. semantic web

36. SKOS-representation of thesaurus term & relations can be described in RDF Term : Economic cooperation Used For : Economic co-operation Broader terms : Economic policy Narrower terms : Economic integration, European economic cooperation, European industrial cooperation, Industrial cooperation Related terms : Interdependence Scope Note : Includes cooperative measures in banking, trade, industry etc., between and among countries. Eric Sieverts | e.g.sieverts@uu.nl | e.g.sieverts@hva.nl | http://www.library.uu.nl/medew/it/eric | Middelburg 30-9-2010

39. the "linked data cloud" - september 2010 - 24 billion RDF triples online

40. viaf: virtual international authority file dbpedia: data from Wikipedia last.fm: artists geonames: 6.2 M toponyms BBC: wildlife finder LCSH Reuters: openCalais IMDB

43. verdi puccini lucca italy italia italië italien tosca madame -butterfly madama -butterfly roma rome occurrences situated in influenced composed location for place of birth simple example of opera topic-map adopted from Pepper association types topic types composer opera city country

44. © Antony Pitts, Kal Ahmed, MusicDNA Eric Sieverts | e.g.sieverts@uu.nl | e.g.sieverts@hva.nl | http://www.library.uu.nl/medew/it/eric | Middelburg 30-9-2010 topic map application Royal Academy of Music in London developed a model to describe "everything" around music, from work/composition to experience of a particular performance conceptually similar to relational FRBR model in library world

45. © Antony Pitts, Kal Ahmed, MusicDNA

47. © Guus Schreiber UvA / VU rdf annotation of web resource Eric Sieverts | e.g.sieverts@uu.nl | e.g.sieverts@hva.nl | http://www.library.uu.nl/medew/it/eric | Middelburg 30-9-2010

48. iconclass annotation

49. "species ontology" Eric Sieverts | e.sieverts@library.uu.nl | http://www.library.uu.nl/medew/it/eric | [email_address] © Guus Schreiber UvA / VU