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Presentation of LUCERO at EURECOM


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Presentation of LUCERO at EURECOM

  1. 1. Linked Data in a University Context: Publication, Applications and Beyond<br />Mathieu d’Aquin - @mdaquin<br />Knowledge Media Institute, the Open University<br /><br />
  2. 2. Linked Data<br />As set of principles and technologies for a Web of Data<br />Putting the “raw” data online in a standard, web enabled representation (RDF)<br />Make the data Web addressable (URIs)<br />Link with other data <br />
  3. 3. Graph (up to date)<br />
  4. 4. The Open University<br />The biggest university in the UK (200,000 students)<br />One of the youngest (40 years)<br />Most teaching done at a distance<br />1 campus, 13 regional centers<br />Committed to “Open”:<br />Open educational material available as podcasts (iTunes U), units of course material (OpenLearn), etc.<br />Tradition of investing in new technology for teaching, learning, knowledge sharing, etc.<br />Role of the Knowledge Media Institute (KMi)<br />
  5. 5. So Linked Data for the OU?<br />RAE<br />DBPedia<br />Data from <br />Research <br />Outputs<br />OpenLearn<br />Content<br />ORO<br />Exposed as linked data, our data interlink with each other and the external world: become part of the “global data space” on the Web<br />Archive of <br />Course <br />Material<br />Library’s<br />Catalogue<br />Of Digital<br /> Content<br />geonames<br /><br />Currently: OU public data sit in different systems – hard to discover, obtain, integrate by users.<br />A/V Material<br />Podcasts<br />iTunesU<br />BBC<br />DBLP<br />
  6. 6. Why is it important?<br />The OU has been the first University to expose its data as linked data:<br />Now widely recognized as a critical step forward for the HE sector in the UK (and worldwide)<br />Favor transparency and reuse of data, both externally and internally<br />Reduces cost of dealing with our own public data: integration and reuse by design<br /> Enable both new kinds of applications, and to make the ones that are already feasible more cost effective<br />Several other UK universities have now followed our example: <br />,,<br />And others in other countries are setting up similar initiatives<br />
  7. 7. The Stack<br />Applications<br />Institutional repository data<br />Research Data (Arts)<br />Organizational infrastructure<br />Technical infrastructure<br />
  8. 8.<br />
  9. 9. Expose<br />Store<br />Collect<br />Extract<br />Link<br />Ontologies<br />Scheduler<br />Cleaning rules<br />RDF file (add) RDF file (delete)<br />URL redirection rules<br />RSS Extractor<br />Delete (1)<br />Add (2)<br />RDF Cleaner<br />Web Server<br />ORO, podcast<br />RSS feed<br />RDF file (add) RDF file (delete)<br />Triple Store<br />RSS Updater<br />SPARQL<br />endpoint<br />RDF Extractor<br />New items<br />Obsolete items<br />Each datasets<br />Index<br />Entity Name System<br />Search<br />XML Updater<br />URI creation rules<br />Lib, courses, loc<br />Planning + Logging<br />Generic process<br />Dataset specific process<br />
  10. 10. Method for a exposing a dataset<br /><ul><li> Identify data
  11. 11. Get sample data
  12. 12. Identify Copyright Issues
  13. 13. Identify possible links
  14. 14. Identify users and usage</li></ul>Initial Meeting with Data Owner<br />Lucero Core Team<br />Data Owner<br />Data Modeling sessions<br />Lucero KMi Team<br /><ul><li> Find reusable ontologies
  15. 15. Map onto the data
  16. 16. Identify uncovered parts
  17. 17. Define URI Scheme</li></ul>Data Modeling Validation<br />Lucero Core Team<br />Lucero members<br />Data Owner<br />Development of Extractor<br />URI Creation Rules Definition<br />Deployment<br />Lucero KMi Team<br />
  18. 18. Screenshot of the dataset page<br />
  19. 19.
  20. 20. Applications<br />Mobile and Personal Semantics<br />Social<br />Resource Discovery<br />Research<br />Exploration<br />
  21. 21. Example application: Link OpenLearn to relevant course/podcasts<br />See also: Zablith et al, LinkedLearning 2011<br />
  22. 22. ROLE widget<br />
  23. 23. Integrating Open Educational Material in course descriptions<br />See also: Zablith et al., COLD 2011<br />
  24. 24. Explore <br />Explore the courses, qualifications and open educational resources available on a particular topic in one place.<br />See also: Zablith et al., COLD 2011<br />
  25. 25. se<br />Lean-back podcast viewer<br />See also: Zablith et al., COLD 2011<br />See also: Zablith et al., COLD 2011<br />
  26. 26. se<br />See also:<br /><br /> resources-while-browsing/<br /><br />
  27. 27. Add DiscoBro<br />
  28. 28. Example Application: keep track of location, meetings, tutorials, at the OU<br />
  29. 29. Radar<br />
  30. 30. Supporting Researchers: The Reading Experience Database<br /><br />40,000 accounts of somebody reading something at some time in some place<br />Used by researchers in literature and history to explore research hypothesis<br />
  31. 31. Event<br />Location<br />locatedIn<br />subClassOf<br />subClassOf<br />Experience<br />City<br />Country<br />date: Date<br />readerInvolved<br />originCountry<br />textInvolved<br />occupation<br />givesBackgroundTo<br />Person<br />religion<br />gender<br />creator/editor<br />LinkedEvent Ontology<br />Document<br />CITO Citation Ontology<br />Dublin Core<br />title: String<br />description: String<br />published: Date<br />providesExcerptFor<br />FOAF<br />DBPedia<br />
  32. 32.
  33. 33. Lessons Learnt<br />The major part of the work is not technical<br />Linked data is simple!<br />Identifying available data, obtaining access to them, re-modeling them is hard<br />A lot of people’s jobs (administrators, managers, researchers)areall about collecting and managing data<br />A lot of this effort is lost because of closed systems, lack of integration and exposure of the data<br />Linked data is also a way to maximize the exploitation of otherwise inefficient data management approaches<br />There is no killer app<br />Benefit = many small things that are made easier/were not possible before.<br />
  34. 34. What’s Next?<br />Cross-Institution Linked Data/Resource Discovery/Exchanges<br />Why should educational resources be in University Silos? Who cares where they come from?<br /><br />See also: <br />Fernandez et al., ISWC 2011 (in use)<br />
  35. 35. What’s Next? (2)<br />Understanding, Analyzing, Interpreting the data <br />Data is useless, there is no intelligence in the data, only in the application<br />And current applications are no so intelligent, interpretation is still left to the user<br />Reasoning, pattern recognition, data analytics and data mining with the all sort of new challenges in linked data<br />Create something new: the Semantic Web<br />
  36. 36. Deploy SPARQL endpoints on Android and Use Sensor Data<br />See also:<br />d’Aquin et al. ISWC 2011 demo<br />d’Aquin et al. SSN 2011 <br />
  37. 37. See also:<br /><br />d’Aquinand Motta, K-CAP 2011<br />
  38. 38. See also:<br /><br />d’Aquin et al – SDoW 2011<br />
  39. 39. Thank you!<br />Carlo Allocca<br />SalmanElahi<br />Jane Whild<br />FouadZablith<br />KMi<br />AndriyNikolov<br />EnricoMott<br />Mathieu d’Aquin<br />Arts<br />Suzanne Duncanson-Hunter<br />John Wolfe<br />Paul Lawrence<br />Richard Nurse<br />((ex-)PM)<br />Owen Stephens<br />(PM)<br />Stuart Brown<br />Liam Green Hughes<br />Com./<br />Student<br />Comp.<br />Services<br />Non Scantlebury<br />Library <br />Specialists<br />Arts Specialists<br />OU Library<br />Data Owners<br />