Presentation of LUCERO at EURECOM
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Linked Data in a University Context: Publication, Applications and Beyond The Open University (OU) is exposing its data as linked open data to make it more transparent, reusable and discoverable both internally and externally. This includes data about courses, research outputs, library resources and more. By linking its data to other university and external datasets, the OU aims to create new applications and make existing processes more efficient. Other universities in the UK and worldwide are now following the OU's example in publishing institutional data as linked open data.
Presentation of LUCERO at EURECOM
- 1. Linked Data in a University Context: Publication, Applications and BeyondMathieu d’Aquin - @mdaquinKnowledge Media Institute, the Open Universitydata.open.ac.uk
- 2. Linked DataAs set of principles and technologies for a Web of DataPutting the “raw” data online in a standard, web enabled representation (RDF)Make the data Web addressable (URIs)Link with other data
- 3. Graph (up to date)
- 4. The Open UniversityThe biggest university in the UK (200,000 students)One of the youngest (40 years)Most teaching done at a distance1 campus, 13 regional centersCommitted to “Open”:Open educational material available as podcasts (iTunes U), units of course material (OpenLearn), etc.Tradition of investing in new technology for teaching, learning, knowledge sharing, etc.Role of the Knowledge Media Institute (KMi)
- 5. So Linked Data for the OU?RAEDBPediaData from Research OutputsOpenLearnContentOROExposed as linked data, our data interlink with each other and the external world: become part of the “global data space” on the WebArchive of Course MaterialLibrary’sCatalogueOf Digital Contentgeonamesdata.gov.ukCurrently: OU public data sit in different systems – hard to discover, obtain, integrate by users.A/V MaterialPodcastsiTunesUBBCDBLP
- 6. Why is it important?The OU has been the first University to expose its data as linked data: http://data.open.ac.ukNow widely recognized as a critical step forward for the HE sector in the UK (and worldwide)Favor transparency and reuse of data, both externally and internallyReduces cost of dealing with our own public data: integration and reuse by design Enable both new kinds of applications, and to make the ones that are already feasible more cost effectiveSeveral other UK universities have now followed our example: http://data.online.lincoln.ac.uk/, http://data.ox.ac.uk/, http://data.southampton.ac.uk/And others in other countries are setting up similar initiatives
- 7. The data.open.ac.uk StackApplicationsInstitutional repository dataResearch Data (Arts)Organizational infrastructureTechnical infrastructure
- 9. ExposeStoreCollectExtractLinkOntologiesSchedulerCleaning rulesRDF file (add) RDF file (delete)URL redirection rulesRSS ExtractorDelete (1)Add (2)RDF CleanerWeb ServerORO, podcastRSS feedRDF file (add) RDF file (delete)Triple StoreRSS UpdaterSPARQLendpointRDF ExtractorNew itemsObsolete itemsEach datasetsIndexEntity Name SystemSearchXML UpdaterURI creation rulesLib, courses, locPlanning + LoggingGeneric processDataset specific process
- 10. Method for a exposing a dataset Identify data
- 11. Get sample data
- 12. Identify Copyright Issues
- 13. Identify possible links
- 14. Identify users and usageInitial Meeting with Data OwnerLucero Core TeamData OwnerData Modeling sessionsLucero KMi Team Find reusable ontologies
- 15. Map onto the data
- 16. Identify uncovered parts
- 17. Define URI SchemeData Modeling ValidationLucero Core TeamLucero membersData OwnerDevelopment of ExtractorURI Creation Rules DefinitionDeploymentLucero KMi Team
- 18. Screenshot of the dataset page
- 20. ApplicationsMobile and Personal SemanticsSocialResource DiscoveryResearchExploration
- 21. Example application: Link OpenLearn to relevant course/podcastsSee also: Zablith et al, LinkedLearning 2011
- 22. ROLE widget
- 23. Integrating Open Educational Material in course descriptionsSee also: Zablith et al., COLD 2011
- 24. Explore Explore the courses, qualifications and open educational resources available on a particular topic in one place.See also: Zablith et al., COLD 2011
- 25. seLean-back podcast viewerSee also: Zablith et al., COLD 2011See also: Zablith et al., COLD 2011
- 27. Add DiscoBro
- 28. Example Application: keep track of location, meetings, tutorials, at the OU
- 29. Radar
- 30. Supporting Researchers: The Reading Experience Databasehttp://www.open.ac.uk/Arts/reading/40,000 accounts of somebody reading something at some time in some placeUsed by researchers in literature and history to explore research hypothesis
- 31. EventLocationlocatedInsubClassOfsubClassOfExperienceCityCountrydate: DatereaderInvolvedoriginCountrytextInvolvedoccupationgivesBackgroundToPersonreligiongendercreator/editorLinkedEvent OntologyDocumentCITO Citation OntologyDublin Coretitle: Stringdescription: Stringpublished: DateprovidesExcerptForFOAFDBPedia
- 33. Lessons LearntThe major part of the work is not technicalLinked data is simple!Identifying available data, obtaining access to them, re-modeling them is hardA lot of people’s jobs (administrators, managers, researchers)areall about collecting and managing dataA lot of this effort is lost because of closed systems, lack of integration and exposure of the dataLinked data is also a way to maximize the exploitation of otherwise inefficient data management approachesThere is no killer appBenefit = many small things that are made easier/were not possible before.
- 34. What’s Next?Cross-Institution Linked Data/Resource Discovery/ExchangesWhy should educational resources be in University Silos? Who cares where they come from?LinkedUniversities.orgSee also: Fernandez et al., ISWC 2011 (in use)
- 35. What’s Next? (2)Understanding, Analyzing, Interpreting the data Data is useless, there is no intelligence in the data, only in the applicationAnd current applications are no so intelligent, interpretation is still left to the userReasoning, pattern recognition, data analytics and data mining with the all sort of new challenges in linked dataCreate something new: the Semantic Web
- 36. Deploy SPARQL endpoints on Android and Use Sensor DataSee also:d’Aquin et al. ISWC 2011 demod’Aquin et al. SSN 2011
- 37. See also:http://lucero-project.info/lb/2011/06/what-to-ask-linked-data/d’Aquinand Motta, K-CAP 2011
- 38. See also:uciad.infod’Aquin et al – SDoW 2011
- 39. Thank you!Carlo AlloccaSalmanElahiJane WhildFouadZablithKMiAndriyNikolovEnricoMottMathieu d’AquinArtsSuzanne Duncanson-HunterJohn WolfePaul LawrenceRichard Nurse((ex-)PM)Owen Stephens(PM)Stuart BrownLiam Green HughesCom./StudentComp.ServicesNon ScantleburyLibrary SpecialistsArts SpecialistsOU LibraryData Owners
Editor's Notes
- #3: Usual pitch: - data on the web = every piece of data is web addressable, so data across different places/stores/systems become linkable: the Web = 1 data space