1. Linking Library Data Workshop Report Adrian Stevenson, UKOLNELAG 2011 Prague 27th May 2011 Photo credit: http://www.flickr.com/photos/lukask/ Our workshop Leader: JindřichMynarz
2. Day 1: RDF, SPARQL and Discussion Brief look at RDF and SPARQL Discussion What constitutes data worth linking to? 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?
3. Discussion: What constitutes data worth linking to? Size and coverage (e.g., DBPedia) Uniqueness - unique content attracts links (e.g., holdings in library setting) Completeness
4. Discussion: How to encourage others to link to my data? Make usage simple. Provide data in accessible formats. Provide downloadable data dumps Use open licence
5. Discussion: What is the added value of links? Enrich web sites with information curated elsewhere Provides multi-lingual content Support resource discovery through authority files, thesauri, synonym lists, etc. Exploit additional structure imported from Linked Data sources into our applications
6. Day 2: Tools Worked in Groups Looking at tools SILK Framework A Link Discovery Framework for the Web of Data http://www4.wiwiss.fu-berlin.de/bizer/silk/ LIMES - http://aksw.org/Projects/limes Prefix.cc - http://prefix.cc/ 4store RDF triple store - http://www.4store.org/
7. Outcomes We learnt about RDF, SPARQL, Triples etc Workshop documents clear and well prepared Very useful pointers on SPARQL,triple store tools, and interlinking datasets Great to try SILK – should be useful for subject, place and names interlinking across datasets
8. Outcomes Workshop a little ‘uncomfortable’ for some not already familiar with RDF, SPARQL Steep learning curve, “very programmery” Useful to have a separate SPARQL workshop More time to workas a team Jindřich was very helpful. Thanks! More feedback at http://bit.ly/linking-library-data