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Linked Data: Emblematic applications on Legacy Data in Libraries

Explore the evolution of the web from a syntactic structure to a linked ecosystem with definitive principles. Learn how to publish legacy library data as linked data and make it more discoverable and reusable. Implementations, working principles, and applications in libraries are covered. Dive into the connections between related datasets and the benefits of structured and linked data.

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Linked Data: Emblematic applications on Legacy Data in Libraries

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  1. Linked Data: Emblematic applications on Legacy Data in Libraries Vikas Bhushan Indian Statistical Institute JRF – LIS Documentation Research and Training Centre Email : vikas@drtc.isibang.ac.in Mobile : 9449387031

  2. Overview of Presentation • Linked Data: Introduction • Evolution of Syntactic Web to Linked Web • Linked Data Working Principles • Current Trends & Implementations • Linking Legacy Data • Annotating Text Data & Publishing Legacy Data as Linked Data • Conclusion

  3. Evolution of Syntactic Web to Linked Web Linked Web Meaningful Links between related Data sets, Making Web like a single global database Web of Data Web 3.0 Machine Processable & Understandable, Data sets Isolated, unconnected Semantic Web Web of Documents, Human clickable hyperlinks, Web 1.0, Web 2.0, Content not well structured Can’t ask expressive queries Can’t process content within applications Syntactic Web

  4. Need for Linked Data • To enhance re-usability, findability & visibility of our data • Publish structured data directly on the Web in addition to classic HTML pages. • Different Approaches • Microformats • Web APIs & Mashups • APIs slice the Web into separate data silos • Linked Data Christian Bizer: How to Publish Linked Data on the Web - Introduction (10/27/2008)

  5. The Web of Linked Data • Use Semantic Web technologies to • publish structured data on the Web, • set links between data from one data source to data within other data sources

  6. Linked Data Working Principles • Use URIs as names for things. • Use URIs, so that people can look up those names. • When someone looks up a URI, provide useful information, using the standards (RDF). • Include links to other URIs, so that they can discover more things. Tim Berners-Lee 2007 http://www.w3.org/DesignIssues/LinkedData.html

  7. URIs to identify people & relationships http://drtc.isibang.ac.in/DRTC/students/sayon http://drtc.isibang.ac.in/DRTC/students/vikas http://xmlns.com/foaf/0.1/knows http://drtc.isibang.ac.in/DRTC/students/debashis http://xmlns.com/foaf/0.1/based_near http://live.dbpedia.org/page/Bangalore

  8. Implementation in OCLC Worldcat

  9. Facts about few others

  10. OpenRefine(ex-Google Refine) • Free, open source tool used for Cleaning messy data & Linking it to data sets like Freebase, DBpedia, Europeana etc. • Survey result of 2014 reflects Librarians as largest user base.

  11. Linked Media Framework • Server application that bundles central Semantic Web technologies such as LMF Core :Linked Data Server that allows to expose data following the Linked Data Principles. LMF Modules :Used to extend the functionality of the Linked Media Server. • LMF Usage Scenarios :Publishing Legacy Data as Linked Data, Building Semantic Search over Data

  12. Hostel Library Records

  13. Reconciliation against DBpedia writer Ontology

  14. Configuring Triples

  15. RDF Skeleton of the Project

  16. RDF/XML using OpenRefine & csv2rdf <rdf:Description rdf:about="http://localhost:8080/LMF/resource/author/1"> <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/person"/> <foaf:name>Robert Silverberg</foaf:name> <owl:sameAs rdf:resource="http://dbpedia.org/resource/Robert_Silverberg"/> </rdf:Description> <rdf:Description rdf:about="http://localhost:8080/LMF/resource/book/1"> <dc:title>Passengers (short story)</dc:title> <owl:sameAs rdf:resource="http://dbpedia.org/resource/Passengers_(short_story)"/> </rdf:Description> <rdf:Description rdf:about="http://localhost:8080/LMF/resource/author/1"> <dc:creator rdf:resource="http://localhost:8080/LMF/resource/book/1"/> </rdf:Description> <rdf:Description rdf:about="#entry00001"> <rdf:type rdf:resource="http://data-gov.tw.rpi.edu/2009/data-gov-twc.rdf#DataEntry"/> <id1>1</id1> <authors>Robert Silverberg</authors> <id2>1</id2> <book_title>Passengers (short story)</book_title> <author_id>1</author_id> <book_id>1</book_id> </rdf:Description> csv2rdf output OpenRefine output

  17. Conclusion • Linked Data converts the whole web into a single database • Designed for machines and humans. • Links between concept-concept and concept-and its description. • Encourages reuse, reduces repetition. • Enables to add more value to data over the network. • People can more easily find library resources on the web. • More creative applications based on library metadata

  18. Thank you

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