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The Web of Linked Data

This tutorial offers a comprehensive overview of Linked Data principles, emphasizing the five-star methodology for data publishing. It explores the processes at the university level, practical implementation, and key considerations for data accessibility and interoperability. Participants engage in group breakout sessions aimed at understanding their roles in adopting Linked Data practices. Key topics include data format standards, privacy issues, and the importance of machine-readable formats. Aimed at fostering a culture of data sharing and linkage, this guide provides actionable insights for organizations looking to utilize Linked Data effectively.

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The Web of Linked Data

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  1. The Web of Linked Data Nick Gibbins, Hugh Glaser, Chrisopher Gutteridge, Wendy Hall/Nigel Shadbolt, Ian Millard21 November 2010 http://eprints.ecs.soton.ac.uk/id/… A Tutorial

  2. The Web of Linked Data:A Tutorial Nick Gibbins, Hugh Glaser, Christopher Gutteridge, Wendy Hall, Ian Millard

  3. The Plan • Introduction • How to do the “Five Stars” • The Process at the University • The Pragmatics at the University • Group Breakout • Coffee • Feedback from Groups • Discussion and Planning

  4. Before You Start • Dataset Audit

  5. Where • Database • A spreadsheet on someone’s PC

  6. What • Low hanging fruit • Facilitate linkage • “Pivot” sets • Privacy • Trust • Identify “dangerous” datasets • Recognisewhat may cause trouble

  7. When • Static or Dynamic • Release frequency

  8. One Star • Put your Data on the Web

  9. ✰Put Your Data on the Web • any format • license is important! (any license is better than none) • highlight data.gov.uk portal or data.london.gov.uk • -- index of resources, data and applications • -- metadata (CKAN?) • -- forums, etc • -- easy to find, clear license, easy to reuse • -- sotonprob needs similar portal

  10. Two Stars • Make it Available in a Machine Readable Format

  11. ✰✰ Make it Available in a Machine Readable Format • highlight problems of PDF and images • some simple structure • spreadsheet, database dump • summarise best practises • -- clean, regular data • -- put comments in separate fields, etc • -- column headings

  12. Three Stars • Use an Open, Standard, Format

  13. ✰✰✰ Use an Open, Standard, Format • proprietary software is bad • eg excel: wacky formatting, difficult to use by scripts and other tools • Use an open standard: XML, JSON, CSV, RDF • (Intro to RDF, ontologies.)

  14. Four Stars • Use an Open, Linked Data, Format

  15. ✰✰✰✰ Use an Open, Linked Data, Format • (Intro to linked data publishing -- a single dataset, no linkage) • Fundamentally use URIs to identify things • put RDF descriptions at those URIs (ie resolvable) • common identifiers • can now refer to things • a linked data platform usually does all this for you

  16. Five Stars • Link Your Data to Other People’s Data

  17. ✰✰✰✰✰ Link your Data to Other Peoples’ • Forming the 'web of data' • find extra info • sameAs, CRS, etc

  18. The Process at the University • not really much of a technical piece. we don't want/need to tell them this is *how* we're going to do it from a technical point of view (indeed this hasn’t even been thrashed out properly yet). it's more about *what* is likely to be implemented across the University in a socio/political sense. • need to tell the audience that this is being mandated at a high level. • who owns the overall activity? • social issues: • -- who's responsible for what? (to which star level?) • -- who in which parts of the organisation is doing what?

  19. The Pragmatics at the University

  20. Group Breakout • What does it mean for you? ✰Put your Data on the Web ✰✰Make it Available in a Machine Readable Format ✰✰✰ Use an Open, Standard, Format ✰✰✰✰ Use an Open, Linked Data, Format ✰✰✰✰✰ Link Your Data to Other Peoples’ Data • Raw Data Now! • Just Enough Ontology! • Perfect is the Enemy of the Good!

  21. Feedback From Groups

  22. Discussion and Planning

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  25. Page title • Try not to use more than four or five bullet points per page to avoid the page becoming too cluttered • Keep each bullet point to one or two lines if possible • Third bullet point • Fourth bullet point • Fifth bullet point

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  30. Further reports • Use the colours from the palette when creating graphs and charts – follow the example below

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