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Aggregation Using Linked Data – LOCAH Project Experiences

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Workshop with Paul Walk and Herbert Van De Sompel at OAI7, Geneva,

Publicado en: Tecnología, Educación
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Aggregation Using Linked Data – LOCAH Project Experiences

  1. 1. UKOLN is supported by: Aggregation Using Linked Data – LOCAH Project Experiences 23rd June 2011 OAI7, Geneva, Switzerland Adrian Stevenson LOCAH Project Manager
  2. 2. LOCAH Project <ul><li>L inked O pen C opac and A rchives H ub </li></ul><ul><li>Funded by #JiscEXPO 2/10 ‘Expose’ call </li></ul><ul><ul><li>1 year project. Started August 2010 </li></ul></ul><ul><li>Partners & Consultants: </li></ul><ul><ul><li>UKOLN – Adrian Stevenson, Julian Cheal </li></ul></ul><ul><ul><li>Mimas – Jane Stevenson, Bethan Ruddock, Yogesh Patel </li></ul></ul><ul><ul><li>Eduserv – Pete Johnston </li></ul></ul><ul><ul><li>Talis – Leigh Dodds, Tim Hodson </li></ul></ul><ul><ul><li>OCLC - Ralph LeVan, Thom Hickey </li></ul></ul><ul><ul><li>Ed Summers </li></ul></ul><ul><li> tag: #locah </li></ul>
  3. 3. Archives Hub and Copac <ul><li>UK National Data Services based at Mimas </li></ul><ul><li>Archives Hub is an aggregation of archival descriptions from archive repositories across the UK </li></ul><ul><ul><li> </li></ul></ul><ul><li>Copac provides access to the merged library catalogues of libraries throughout the UK, including all national libraries </li></ul><ul><ul><li> </li></ul></ul>
  4. 4. What is LOCAH Doing? <ul><li>Part 1: Exposing Archives Hub & Copac data as Linked Data </li></ul><ul><li>Part 2: Creating a prototype visualisation </li></ul><ul><li>Part 3: Reporting on opportunities and barriers </li></ul>
  5. 5. We’re Aggregating <ul><li>If something is identified, it can be linked to </li></ul><ul><li>We take items from one dataset and link them to items from other datasets </li></ul>BBC VIAF DBPedia Archives Hub Copac GeoNames
  6. 6. Enhancing our data <ul><li>Already have some links: </li></ul><ul><ul><li>Time - URIs </li></ul></ul><ul><ul><li>Location - UK Postcodes URIs and Ordnance Survey URIs </li></ul></ul><ul><ul><li>Names - Virtual International Authority File </li></ul></ul><ul><ul><ul><li>Matches and links widely-used authority files - </li></ul></ul></ul><ul><ul><li>Names - DBPedia </li></ul></ul><ul><li>Also looking at: </li></ul><ul><ul><li>Subjects - Library Congress Subject Headings and DBPedia </li></ul></ul>
  7. 7.
  8. 8. ‘ Aggregates’ property points to
  9. 10. Visualisation Prototype <ul><li>Using Timemap – </li></ul><ul><ul><li>Googlemaps and Simile </li></ul></ul><ul><ul><li> / </li></ul></ul><ul><li>Early stages with this </li></ul><ul><li>Will give location and ‘extent’ of archive. </li></ul><ul><li>Will link through to Archives Hub </li></ul>
  10. 12. BBC Music
  11. 13. APIs, Mashups and Linked Data <ul><li>Mashups work against a fixed set of data sources </li></ul><ul><ul><li>Hand crafted by humans </li></ul></ul><ul><ul><li>Don’t integrate well </li></ul></ul><ul><li>Linked Data promises an unbound global data space </li></ul><ul><ul><li>Easy dataset integration </li></ul></ul><ul><ul><li>Generic ‘mesh-up’ tools </li></ul></ul>
  12. 14. Aggregation / Integration Challenges
  13. 18. Sustainability <ul><li>Can you rely on data sources long-term? </li></ul><ul><li>Ed Summers at the Library of Congress created </li></ul><ul><li>Linked Data interface for LOC subject headings </li></ul><ul><li>People started using it </li></ul>
  14. 19. Library of Congress Subject Headings
  15. 20. Scalability <ul><li>Will the Web of Data scale? </li></ul>Example by Bradley Allen, Elsevier at LOD LAM Summit, SF, USA
  16. 21. Data Modelling <ul><li>Complexity </li></ul><ul><ul><li>Archival description is hierarchical and multi-level </li></ul></ul><ul><li>Dirty Data </li></ul>Licensing <ul><li>‘ Ownership’ of data </li></ul><ul><li>Hard to track attribution </li></ul><ul><li>CC0 for Archives Hub and Copac data </li></ul>
  17. 22. Linked Data the Way for Aggregation? <ul><li>Enables ‘straightforward’ aggregation of wide variety of data sources </li></ul><ul><li>New channels into your data services </li></ul><ul><li>Researchers are more likely to discover sources </li></ul><ul><li>‘ Hidden' collections of repositories become of the Web </li></ul>
  18. 23. Questions for Discussion <ul><li>Will using vocabularies and ontologies always be too difficult? </li></ul><ul><ul><li>Or will the tools appear? – MS Access for Linked Data? </li></ul></ul><ul><li>Will the Web of Data scale? </li></ul>
  19. 24. <ul><ul><li>What constitutes data worth linking to? </li></ul></ul><ul><ul><li>How to find datasets suitable for interlinking? </li></ul></ul><ul><ul><li>How to make my dataset worth linking to? </li></ul></ul><ul><ul><li>How to encourage others to link to my data? </li></ul></ul><ul><ul><li>What is the added value of links? </li></ul></ul><ul><ul><li>How to determine the quality of a link? </li></ul></ul>Questions if you’ve bought in
  20. 25. Attribution and CC License <ul><li>Sections of this presentation adapted from materials created by other members of the LOCAH Project </li></ul><ul><li>This presentation available under creative commons Non Commercial-Share Alike: </li></ul><ul><li> </li></ul>