MotivationData on the WebSome eyecatching opener illustrating growth and or diversity of web dataUsing Linked Data in Educ...
 De-facto standard for sharing data on the Web Vision: well connected graph of open Web data W3C standards (RDF, SPARQL...
Linked Data for EducationWhy is it useful?1. Linked Data as body of knowledge for education & TEL recommender sytems: vas...
Educationally relevant data, eg for informal learning Publications & literature: ACM, PubMed, DBLP (L3S), OpenLibrary Do...
Educationally relevant data, eg for informal learning Publications & literature: ACM, PubMed, DBLP (L3S), OpenLibrary Do...
LD for educational data/resource sharingChallenges of educational resource sharingIssues Heterogeneity & lack of interope...
LD for educational data/resource sharingOverviewApproaches for LD in educational data sharing On the-fly/automated integr...
LD for integration of OER repositoriesUse case: biomedical education in=> http://metamorphosis.med.duth.gr/Metamorphosis+ ...
Data/services integration & retrieval/search APIs Linked Educational Resources http://linkededucation.org/meducator Appr...
SmartLink: data lifting into RDF (via lifting templates)Database of over 22 M records of biomedical resources (12 M full t...
?Data enrichment via DBpedia & FreebaseSemi-structured RDFdescription ofeducational resource12/03/13Stefan Dietze
?Data enrichment via DBpedia & FreebaseSemi-structured RDFdescription ofeducational resource12/03/13Stefan Dietze
??Data enrichment via DBpedia & Freebase??
!!Data enrichment via DBpedia & FreebaseNER & disambiguation,eg, via
db:ViralInfectionsdb:HumanPapilloma Virusdb:LifeSciences<led:Resource-OpenLearn-2139393292><led:title>…viral…disease…</led...
Number of resources per DBpedia reference/enrichment (subject) in mEducator datasetDBpedia concept (http://dbpedia.org/res...
DBpedia concept (http://dbpedia.org/resource/....) Linked by number ofresourcesCervical_cancer 59Screening 31Cervical 29Hp...
Using LD in educational recommender systemsCross-plattform recommendation in medical education=> http://metamorphosis.med....
Enrichment: semi-automatedhttp://metamorphosis.med.duth.gr/Metamorphosis+Example: OER annotation in MetaMorphosis+Stefan D...
Access to 324 ontologiesand over 5 Mio entitieshttp://bioportal.bioontology.org/Enrichment: semi-automatedhttp://metamorph...
Exploratory search enabled via clusteringExample: search results of OER in MetaMorphosis+http://metamorphosis.med.duth.gr/...
Exploratory search enabled via clusteringhttp://metamorphosis.med.duth.gr/Metamorphosis+Related resources from heterogeneo...
Data/services integration & retrieval/search APIs Linked Educational Resources http://linkededucation.org/meducatorhttp:/...
<dc:title> <akt:has-title>?OERPublicationVideoLectureLinkedUniversitieseducational videosStep 1 – Alignment of types/prope...
<dc:title> <akt:has-title>?OERPublicationVideoLectureLinkedUniversitieseducational videosStep 1 – Alignment of types/prope...
 EC-funded support action (11/2012 – 10/2014) aiming atimproving take-up of large-scale Web data (education as scenario)...
Stefan DietzeLinkedUp consortium02/04/13http://www.linkedup-project.euL3S Research Center, Leibniz University, DE Coordin...
Commonwealth of Learning, COL (CA)Athabasca University (CA)Talis Group (UK)SURF NL (NL)Data Archiving and Networked Servic...
http://datahub.io/dataset/meducatorLinkedUp data curationFinding and using dataLack of take-up due to challenges wrt: Sca...
 Goal: providing data consumers with descriptive metadata & search for available datasets “LinkedUp/Linked Education clo...
13/05/13 31Stefan DietzeEndpoint Retrieval& GraphExtractionSchemaExtraction andMappingSample GraphExtraction(per dataset)N...
Linked Education Cloud & Cataloghttp://datahub.io/group/linked-educationhttp://data.linkededucation.org/linkedup/catalog/
Co-occurence graph ofdetected data types (in 146 datasets)(node size: type frequencyedge: type co-occurence)144 Vocabulari...
Dataset cataloging and query federationCo-occurence of (mapped) typesStefan Dietze 13/05/13Assessing the Educational Linke...
Dataset cataloging and query federationDataset graph (according to type co-occurence)Stefan DietzeDataset graph(according ...
db:ViralInfectionsdb:HumanPapilloma Virusdb:LifeSciences<led:Resource-OpenLearn-2139393292><led:title>…viral…disease…</led...
Top-ranked categories/topicsin Linked Education Catalog &their frequencyStefan Dietze 02/04/13DBpedia Category TotalManage...
Enhanced Dataset Descriptionusing Semantic AnnotationsEstablished Dataset/Resource Correlationsbased on Semantic Annotatio...
Example: Learning Analytics & Knowledge (LAK) DatasetExtraction process CKAN linkededucation LAK tutorial LAK Data LAK...
Learning Analytics & Knowledge (LAK) Dataset A corpus of metadata and full-text of 331 learning analytics & educationalda...
Learning Analytics & Knowledge (LAK) DatasetExtraction processStefan Dietze 13/05/1313/05/13Taibi, D., Dietze, S., Fosteri...
Learning Analytics & Knowledge (LAK) DatasetHow to access?Used schemasSemantic Web Conference ontologyhttp://data.semantic...
LAK Data Challengein a nutshellhttp://www.solaresearch.org/events/lak/lak-data-challenge/2. PrizeiPad, 16 GB1. PrizeiPad, ...
LAK Challenge – the many faces of a small datasetAnalysis Exploration & VisualisationSearch & Recommendation Correlation &...
Cite4Me – Exploiting LAK and LinkedUp data13/05/13 45Stefan Dietzehttp://cite4me.comCite4Me: Semantic Retrieval and Analys...
What to do with all the data: LinkedUp Challengenutshell Open competition running over 1.5 years First competition “Veni...
Incentives Total prize budget of almost 40.000 EUR Work with large network of experts in the field of linkedopen data in...
Stefan Dietze 13/05/13Evaluation & timeline Register already now:http://linkedup-challenge.org Initial deadline: 27 June...
Summary and outlookSummary Different ways of using LD in education (knowledge source, disambiguation, interlinking, enric...
Linked Learning 2013 @ WWW2013in a nutshell CKAN linkededucation LAK tutorial LAK Data LAK challenge LILE2013 @ www19...
References Interlinking educational Resources and the Web of Data – a Survey of Challenges and Approaches, Stefan Dietze,...
Thank you!Contact http://purl.org/dietze | @stefandietzeSee also (general) http://linkedup-project.eu http://linkedup-c...
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WWW2013 Tutorial: Linked Data & Education

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WWW2013 Tutorial: Linked Data & Education

  1. 1. MotivationData on the WebSome eyecatching opener illustrating growth and or diversity of web dataUsing Linked Data in Education – Opportunities,Challenges, ExamplesStefan Dietze(L3S Research Center, DE,@stefandietze,http://purl.org/dietze)Stefan Dietze 13/05/13
  2. 2.  De-facto standard for sharing data on the Web Vision: well connected graph of open Web data W3C standards (RDF, SPARQL) to expose data Persistent URIs to interlink datasetsLinked DataDomainNumber ofdatasetsTriples % (Out-)Links %Media 25 1,841,852,061 5.82 % 50,440,705 10.01 %Geographic 31 6,145,532,484 19.43 % 35,812,328 7.11 %Government 49 13,315,009,400 42.09 % 19,343,519 3.84 %Publications 87 2,950,720,693 9.33 % 139,925,218 27.76 %Cross-domain 41 4,184,635,715 13.23 % 63,183,065 12.54 %Life sciences 41 3,036,336,004 9.60 % 191,844,090 38.06 %User-generatedcontent20 134,127,413 0.42 % 3,449,143 0.68 %295 31,634,213,770 503,998,829Source: http://lod-cloud.net/state, September 2011MediaOntologyFOAFGeneOntologyFMAOntologyBIBOGeoOntologyDBpediaOntologyDublinCorerNews
  3. 3. Linked Data for EducationWhy is it useful?1. Linked Data as body of knowledge for education & TEL recommender sytems: vast amount of publicly available resources and data HTTP access according to state of the art principles2. Linked Data as set of principles for data sharing: to improve interoperability of educational data facilitate learning analytics and recommender systemscenarios across isolated platforms Interlinking educational Resources and the Web of Data – aSurvey of Challenges and ApproachesStefan Dietze, Salvador Sanchez-Alonso, Hannes Ebner, Hong QingYu, Daniela Giordano, Ivana Marenzi, Bernardo Pereira Nunes,Emerald Program: electronic Library and Information Systems,Volume 47, Issue 1 (2013). Linked Data for Open and Distance LearningMathieu d’Aquin, report for the Common Wealth of Learning,Stefan Dietze 13/05/13
  4. 4. Educationally relevant data, eg for informal learning Publications & literature: ACM, PubMed, DBLP (L3S), OpenLibrary Domain-specific knowledge & resources: Bioportal for Life Sciences,historic artefacts in Europeana, Geonames Cross-domain knowledge: DBpedia, Freebase, … (Social) media resource metadata: BBC, Flickr, …LD as body of knowledge for educationStefan Dietze 13/05/13
  5. 5. Educationally relevant data, eg for informal learning Publications & literature: ACM, PubMed, DBLP (L3S), OpenLibrary Domain-specific knowledge & resources: Bioportal for Life Sciences,historic artefacts in Europeana, Geonames Cross-domain knowledge: DBpedia, Freebase, … (Social) media resource metadata: BBC, Flickr, …Explicitly educational datasets and schemas University Linked Data: eg The Open University UK,http://data.open.ac.uk, Southampton University, University ofMunster (DE), http://education.data.gov.uk OER Linked Data: mEducator Linked ER(http://ckan.net/package/meducator), Open Learn LD Schemas: Learning Resource Metadata Initiative (LRMI,http://www.lrmi.net/), mEducator Educational Resources schema(http://purl.org/meducator/ns) http://linkededucation.org & http://linkeduniversities.orgLD as body of knowledge for educationStefan Dietze 13/05/13
  6. 6. LD for educational data/resource sharingChallenges of educational resource sharingIssues Heterogeneity & lack of interoperability Lack of take-up Vast Open Educational Resource (OER) & MOOC metadata collections(e.g. OpenCourseware, OpenLearn, Merlot, ARIADNE) Usually exposed via APIs/services Competing Web interfaces (e.g. SQI, OAI-PMH, SOAP, REST) & metadata standards (e.g. IEEE LOM,ADL SCORM, DC…) Competing exchange formats and serialisations (e.g. JSON, RDF, XML) Fragmented use of taxonomies
  7. 7. LD for educational data/resource sharingOverviewApproaches for LD in educational data sharing On the-fly/automated integration of heterogeneous APIs and data (http://www.meducator.net) Dataset (transformation and) cataloging (http://linkedup-project.eu)?
  8. 8. LD for integration of OER repositoriesUse case: biomedical education in=> http://metamorphosis.med.duth.gr/Metamorphosis+ Tailored (L)CMS plugins=> http://www.meducator3.net/Data/services integration & retrieval/search APIsEducational Web ResourcesSchemas: OAI-DC, LOM, …Formats: XML, JSONInterfaces: OAI-PMH, REST, SOAP?
  9. 9. Data/services integration & retrieval/search APIs Linked Educational Resources http://linkededucation.org/meducator Approach: 1) On the fly queries via “SmartLink” (Linked Data registry execution engine for open APIs)2) Data lifting from heterogeneous repositories using “SmartLink” API and liftingspecifications3) Data enrichment (via DBpedia, Freebase, BioPortal) & clustering, eg to identify correlatedresources Goal: improvement of distributed (non-LD) data with public LOD vocabularies; tighter interlinking toprovide coherent graph of educational data (across disparate stores)http://purl.org/smartlinkSchemas: OAI-DC, LOM, …Formats: XML, JSONInterfaces: OAI-PMH, REST, SOAPLD for integration of OER repositoriesEducational Web Resources Dietze, S., Yu, H. Q., Giordano, D., Kaldoudi, E., Dovrolis, N., Taibi, D.,Linked Education: interlinking educational Resources and the Webof Data, in Proceedings of the 27th ACM Symposium On AppliedComputing (SAC-2012), Special Track on Semantic Web andApplications, Riva del Garda (Trento), Italy, 2012.
  10. 10. SmartLink: data lifting into RDF (via lifting templates)Database of over 22 M records of biomedical resources (12 M full text)=> www.pubmed.govDereferencable RDF resource descriptionlifted via SmartLink:http://purl.org/meducator/resources/25a8c581-66d7-4186-9411-f9f0f783463eStefan Dietze 13/05/13original XML resource descriptionretrieved via API request
  11. 11. ?Data enrichment via DBpedia & FreebaseSemi-structured RDFdescription ofeducational resource12/03/13Stefan Dietze
  12. 12. ?Data enrichment via DBpedia & FreebaseSemi-structured RDFdescription ofeducational resource12/03/13Stefan Dietze
  13. 13. ??Data enrichment via DBpedia & Freebase??
  14. 14. !!Data enrichment via DBpedia & FreebaseNER & disambiguation,eg, via
  15. 15. db:ViralInfectionsdb:HumanPapilloma Virusdb:LifeSciences<led:Resource-OpenLearn-2139393292><led:title>…viral…disease…</led:title>…</led:Resource-OpenLearn-2139393292><led:Resource-BBC-519215><led:title>…virus…</led:title>…</led:Resource-BBC-519215>LD for integration of OER resourcesLD vocabularies for disambiguation & clustering<led:Resource-mEducator-2139393292><led:title>Virtual patient 1002,infections & HPV</led:title>…</led:Resource-mEducator-2139393292>db:DiseaseStefan Dietze 13/05/13Nunes, B. P., Dietze, S., Casanova, M.A., Kawase, R., Fetahu, B., Nejdl,W., Combining a co-occurrence-based and a semantic measure forentity linking, ESWC 2013 – 10th Extended Semantic Web Conference,Montpellier, France, May (2013).
  16. 16. Number of resources per DBpedia reference/enrichment (subject) in mEducator datasetDBpedia concept (http://dbpedia.org/resource/....) Linked by number ofresourcesCervical_cancer 59Screening 31Cervical 29Hpv 29Oxygenation 26Childhood 22differential_diagnosis 19Knowledge 18Learning 17decision_making 16Training 15Lecture 15Risk 15hpv_infection 15Fear 15pap_smear 15Abnormal 14Ventilation 14Ecg 14..) Linked by number ofresources59312929262219181716151515151515141414Structural clustering of related resourcesDBpedia references used most frequently to describe the„subject“ of particular educational resources(extracted via out of the box NER tools)Stefan Dietze 13/05/13
  17. 17. DBpedia concept (http://dbpedia.org/resource/....) Linked by number ofresourcesCervical_cancer 59Screening 31Cervical 29Hpv 29Oxygenation 26Childhood 22differential_diagnosis 19Knowledge 18Learning 17decision_making 16Training 15Lecture 15Risk 15hpv_infection 15Fear 15pap_smear 15Abnormal 14Ventilation 14Ecg 14..) Linked by number ofresources59312929262219181716151515151515141414Clustering of resources graph (blue nodes: resources, green nodes: enrichments)Structural clustering of related resourcesCluster of educational resourcesrelating to „cervical cancer“ subjectNumber of resources per DBpedia reference/enrichment (subject) in mEducator datasetStefan Dietze 13/05/13
  18. 18. Using LD in educational recommender systemsCross-plattform recommendation in medical education=> http://metamorphosis.med.duth.gr/Metamorphosis+ Dietze, S., Kaldoudi, E., Dovrolis, N., Yu, H.Q., Taibi, D. (2011)MetaMorphosis+ – A social network of educational Webresources based on semantic integration of services and data,10th International Semantic Web Conference (ISWC2011), Bonn,Germany
  19. 19. Enrichment: semi-automatedhttp://metamorphosis.med.duth.gr/Metamorphosis+Example: OER annotation in MetaMorphosis+Stefan Dietze 13/05/13 Dietze, S., Kaldoudi, E., Dovrolis, N., Yu, H.Q., Taibi, D. (2011)MetaMorphosis+ – A social network of educational Webresources based on semantic integration of services and data,10th International Semantic Web Conference (ISWC2011), Bonn,Germany
  20. 20. Access to 324 ontologiesand over 5 Mio entitieshttp://bioportal.bioontology.org/Enrichment: semi-automatedhttp://metamorphosis.med.duth.gr/Metamorphosis+2. Suggested Entities3. Selected entities from BioPortal used to describe discipline, keywords of resource1. User-specified term duringlearning resource annotationStefan Dietze 13/05/13 Dietze, S., Kaldoudi, E., Dovrolis, N., Yu, H.Q., Taibi, D. (2011)MetaMorphosis+ – A social network of educational Webresources based on semantic integration of services and data,10th International Semantic Web Conference (ISWC2011), Bonn,Germany
  21. 21. Exploratory search enabled via clusteringExample: search results of OER in MetaMorphosis+http://metamorphosis.med.duth.gr/Metamorphosis+Educational resources retrievedfrom heterogenous repositoriesbased on particular user queryStefan Dietze 13/05/13 Dietze, S., Kaldoudi, E., Dovrolis, N., Yu, H.Q., Taibi, D. (2011)MetaMorphosis+ – A social network of educational Webresources based on semantic integration of services and data,10th International Semantic Web Conference (ISWC2011), Bonn,Germany
  22. 22. Exploratory search enabled via clusteringhttp://metamorphosis.med.duth.gr/Metamorphosis+Related resources from heterogeneousrepositories, ranked according to their similarityExample: search results of OER in MetaMorphosis+ Dietze, S., Kaldoudi, E., Dovrolis, N., Yu, H.Q., Taibi, D. (2011)MetaMorphosis+ – A social network of educational Webresources based on semantic integration of services and data,10th International Semantic Web Conference (ISWC2011), Bonn,Germany
  23. 23. Data/services integration & retrieval/search APIs Linked Educational Resources http://linkededucation.org/meducatorhttp://purl.org/smartlinkSchemas: OAI-DC, LOM, …Formats: XML, JSONInterfaces: OAI-PMH, REST, SOAPLD for integration of heterogeneous APIs & dataSome issues/challengesOn-the-fly data integration, but issues wrt: Annotation and description overhead: data lifting requires well-defined lifting specs for each API Performance: distributed queries (multiple HTTP requests), on-the fly data lifting and processing Scalability: decrease of query performance with increasing amount of repositories and/or dataEducational Web Resources
  24. 24. <dc:title> <akt:has-title>?OERPublicationVideoLectureLinkedUniversitieseducational videosStep 1 – Alignment of types/properties12/03/13 24Mathieu d‘Aquin, Stefan DietzeLarge-scale data harvesting and LD-ificationLinked Data for automated cross-platform integration 6 million distinct (but linked) resources 97 million RDF triples 21.6 GB of data Schema: http://data.linkededucation.org/ns/linked-education.rdf SPARQL: http://data.linkededucation.org/request/linked-learning/sparqlLD and non-LD dataStep 2 – Linking of resources
  25. 25. <dc:title> <akt:has-title>?OERPublicationVideoLectureLinkedUniversitieseducational videosStep 1 – Alignment of types/properties12/03/13 25Mathieu d‘Aquin, Stefan DietzeLarge-scale data harvesting and LD-ificationLinked Data for automated cross-platform integration 6 million distinct (but linked) resources 97 million RDF triples 21.6 GB of data Schema: http://data.linkededucation.org/ns/linked-education.rdf SPARQL: http://data.linkededucation.org/request/linked-learning/sparqlLD and non-LD dataStep 2 – Linking of resourcesLarger scale data processing, but issues wrt: Scalability and performance of data storage(potential solutions: applying distributed RDF storage, map/reduce etc) Poor query performance (on large-scale datasets) Redundant data maintenance => periodic data imports Davide Taibi, Besnik Fetahu and Stefan Dietze. – “TowardsIntegration of Web Data into a coherent Educational DataGraph”, Linked Learning 2013 – 3rd International Workshopon Learning and Education with the Web of Data, WWW2013Workshop Proceedings, ACM Digital Library, 2013.
  26. 26.  EC-funded support action (11/2012 – 10/2014) aiming atimproving take-up of large-scale Web data (education as scenario) Three pillars: Linking Educational Data: data & catalog for large-scaleeducational Web data applications LinkedUp Challenge: open data competition (over 1.5 years)[ http://linkedup-challenge.org ] Evaluation Framework for open data applicationshttp://www.linkedup-project.eu/LinkedUp [ http://linkedup-project.eu ]Linking Data for Education Project
  27. 27. Stefan DietzeLinkedUp consortium02/04/13http://www.linkedup-project.euL3S Research Center, Leibniz University, DE Coordinator Leading institute in Web science &data technologies as well astechnology-enhanced learning Strong experience in coordinating R&DprojectsKMI, The Open University, UK Leading R&D institute in areas related to LinkedUp World’s largest distance university (over 200.000students)CELSTEC, The Open University, NL R&D institute in educational technologies and part of thelargest distance university in the netherlandsExact Learning Solutions, IT SME in educational technologies and services withlong-standing experience in (EC-funded) R&D projectsElsevier, NL Leading scientific & educational publisher Innovative research on the future of publishing &extensive experience in data competitionsThe Open Knowledge Foundation, UK Not-for profit organisation to promote openknowledge and data; global network Host of key events (OKCon) and platforms (eg CKAN)
  28. 28. Commonwealth of Learning, COL (CA)Athabasca University (CA)Talis Group (UK)SURF NL (NL)Data Archiving and Networked Services, DANS (NL)Université Fribourg, eXascale Infolab Group (CH)Democritus University of Thrace (GR)AKSW, Universität Leipzig (DE)Aristotele University of Thessaloniki (GR)CNR Institute for Educational Technologies (IT)Clam Messina Service and Research Centre (IT)Eurix (IT)Ontology Engineering Group (OEG), UPM, (ESP)18/09/1228 StefanInternational(outside Europe)LinkedUp network/associated partners+ collaboratorsfrom…
  29. 29. http://datahub.io/dataset/meducatorLinkedUp data curationFinding and using dataLack of take-up due to challenges wrt: Scalability & performance Legal/licensing implications Quality & consistency (LOD = knowledge graph) Lack of reliable dataset metadata about Resource types Topics & disciplines Quality & availability Provenancehttp://datahub.io/dataset/bbc60.000.000 triples
  30. 30.  Goal: providing data consumers with descriptive metadata & search for available datasets “LinkedUp/Linked Education cloud” as (expanded) subset of LOD cloud at The DataHub Public RDF vocabulary of datasets (“Linked Education Catalog”) = dataset of datasets(classification of datasets according to, eg, represented types, disciplines/topics, data quality, accessability) Integration data: links and coreferences => unified view on data => Linked Education Graph Infrastructure, unified (SPARQL) endpoint & APIs for distributed/federated queryingDataset cataloging and query federationLinkedUp approachEducational DatasetsLinkedUpCatalogLinkedUpLinksStefan Dietze 13/05/13Automated processing to generate: Descriptive Dataset Catalog Data Interlinking & Correlation
  31. 31. 13/05/13 31Stefan DietzeEndpoint Retrieval& GraphExtractionSchemaExtraction andMappingSample GraphExtraction(per dataset)NER & NED(per resource)Interlinking & Co-Resolution(cross-dataset)Category mapping,normalisation,filteringDatasetCatalog/IndexLinks/Cross-referencesrdfs:label:„…ECB….“?Dataset metadata (RDF/VoID): Schema mappings(types, properties) Entities & categories Topic relevance scores Availability, currentnessdata (tbc)dbpedia:Financedbpedia:Sportsdbpedia:England-Wales-Cricket-Boarddbpedia:European_Central_BankDataset cataloging and query federationLinkedUp approach
  32. 32. Linked Education Cloud & Cataloghttp://datahub.io/group/linked-educationhttp://data.linkededucation.org/linkedup/catalog/
  33. 33. Co-occurence graph ofdetected data types (in 146 datasets)(node size: type frequencyedge: type co-occurence)144 Vocabularies,588 Types,719 Properties13/05/13 33Assessing the Educational Linked Data Landscape,D’Aquin, M., Adamou, A., Dietze, S., ACM Web Science2013 (WebSci2013), Paris, France, May 2013.Dataset cataloging and query federationSchema assessment & mapping
  34. 34. Dataset cataloging and query federationCo-occurence of (mapped) typesStefan Dietze 13/05/13Assessing the Educational Linked Data Landscape,D’Aquin, M., Adamou, A., Dietze, S., ACM Web Science2013 (WebSci2013), Paris, France, May 2013.Co-occurence graph aftermapping data types(201 most frequent typesmapped into 79 classes)
  35. 35. Dataset cataloging and query federationDataset graph (according to type co-occurence)Stefan DietzeDataset graph(according to type co-occurence)13/05/13Assessing the Educational Linked Data Landscape,D’Aquin, M., Adamou, A., Dietze, S., ACM Web Science2013 (WebSci2013), Paris, France, May 2013.
  36. 36. db:ViralInfectionsdb:HumanPapilloma Virusdb:LifeSciences<led:Resource-OpenLearn-2139393292><led:title>…viral…disease…</led:title>…</led:Resource-OpenLearn-2139393292><led:Resource-BBC-519215><led:title>…virus…</led:title>…</led:Resource-BBC-519215><led:Resource-mEducator-2139393292><led:title>Virtual patient 1002,infections & HPV</led:title>…</led:Resource-mEducator-2139393292>db:DiseaseStefan DietzeDataset cataloging and query federationTopic assessment via LODApproach Enriching sampleresources fromeach dataset withDBpediaentities/categories Filtering &validation Computation ofnormalisedrelevance score13/05/13
  37. 37. Top-ranked categories/topicsin Linked Education Catalog &their frequencyStefan Dietze 02/04/13DBpedia Category TotalManagement 180Academia 151Social_sciences 131Philosophy_of_science 125Design 120Sociology_index 117Systems_science 117Anthropology 116Universities_and_colleges 116Economics 114Scientific_method 111Cognitive_science 110Systems 107Sociological_terms 104Neuropsychological_assessment 100Concepts_in_metaphysics 96Developmental_psychology 93Political_philosophy 89Cybernetics 88Education 87Philosophy_of_education 86Arts 77Critical_thinking 73Biology 71Political_science_terms 71Dataset cataloging and query federationTopic assessment via LOD
  38. 38. Enhanced Dataset Descriptionusing Semantic AnnotationsEstablished Dataset/Resource Correlationsbased on Semantic Annotations (categories)Indexing of Linked Data, What’s all the dataabout, Fetahu, B; Adamou, A., Dietze, S., d’Aquin,M., Nunes, B.P., ISWC2013 – 12th InternationalSemantic Web Conference; under review.Dataset cataloging and query federationTopics and dataset similarities
  39. 39. Example: Learning Analytics & Knowledge (LAK) DatasetExtraction process CKAN linkededucation LAK tutorial LAK Data LAK challenge LILE2013 @ wwwhttp://www.solaresearch.org/resources/lak-dataset/
  40. 40. Learning Analytics & Knowledge (LAK) Dataset A corpus of metadata and full-text of 331 learning analytics & educationaldata mining publications Freely, openly available in variety of structured formats Open access as well as previously non-public resourcesPublication # of papersProceedings of the ACM International Conference on Learning Analyticsand Knowledge (LAK) (2011-12)66The open access journal Educational Technology & Society special issueon “Learning and Knowledge Analytics”: Educational Technology &Society (Special Issue on Learning & Knowledge Analytics, edited byGeorge Siemens & Dragan Gašević), 2012, 15, (3), pp. 1-163.10Proceedings of the International Conference on Educational DataMining (2008-12)239Journal of Educational Data Mining (2008-12) 16Special permissionfrom ACMStefan Dietze 13/05/13
  41. 41. Learning Analytics & Knowledge (LAK) DatasetExtraction processStefan Dietze 13/05/1313/05/13Taibi, D., Dietze, S., Fostering analytics on learninganalytics research: the LAK dataset,http://resources.linkededucation.org/2013/03/lak-dataset-taibi.pdf
  42. 42. Learning Analytics & Knowledge (LAK) DatasetHow to access?Used schemasSemantic Web Conference ontologyhttp://data.semanticweb.org/ns/swc/ontologyLinked Education schemahttp://data.linkededucation.org/ns/linked-education.rdf Dumps in zipped RDF/XML Dumps in R Linked Data/SPARQL endpointhttp://www.solaresearch.org/resources/lak-dataset/
  43. 43. LAK Data Challengein a nutshellhttp://www.solaresearch.org/events/lak/lak-data-challenge/2. PrizeiPad, 16 GB1. PrizeiPad, 64 GB3. PrizeiPod, 16 GB+ additional publicity throughLinkedUpObjectives: Analysis & assessment of the emerging LAK community(topics, people, citations or connections with other fields) Innovative applications to explore, navigate and visualisethe dataset (and/or its correlation with other datasets) Usage of the dataset as part of recommender systems
  44. 44. LAK Challenge – the many faces of a small datasetAnalysis Exploration & VisualisationSearch & Recommendation Correlation & Enrichmenthttp://ceur-ws.org/Vol-974
  45. 45. Cite4Me – Exploiting LAK and LinkedUp data13/05/13 45Stefan Dietzehttp://cite4me.comCite4Me: Semantic Retrieval and Analysis of ScientificPublications, B. P. Nunes, B. Fetahu, and M. A. Casanova.Proceedings of the LAK Data Challenge, held at LAK 2013, theThird Conference on Learning Analytics and Knowledge, (2013) Semantic & graph search Clustering of researchers, teams, organisations Using LinkedUp data catalog & interlinking mechanisms
  46. 46. What to do with all the data: LinkedUp Challengenutshell Open competition running over 1.5 years First competition “Veni” (March 2013 - October 2013): Innovative prototypes and toolsfor analysing and integrating open educational Web data Second competition “Vidi” (November 2013 - April 2014): Challenging and innovative,mature data-driven applications Third competition “Vici” (May 2014 - November 2014): Robust applications for large-scale educational use-cases, offered and provided by LinkedUp First deadline: 27 Junehttp://www.linkedup-challenge.org/Stefan Dietze 13/05/13
  47. 47. Incentives Total prize budget of almost 40.000 EUR Work with large network of experts in the field of linkedopen data in education Participate in affiliated events (Linked Learning workshopseries, satellite workshops and tutorials at majorconferences like WWW2013, LAK2013, ESWC2013) Present your work at the OKCon (http://okcon.org) Benefit from support & dedicated datasets Deploy your applications in real-world use cases(BBC, Elsevier, Commonwealth of Learning…)Stefan Dietze 13/05/13
  48. 48. Stefan Dietze 13/05/13Evaluation & timeline Register already now:http://linkedup-challenge.org Initial deadline: 27 June(„Veni“ stage) Vedi & Vici stage to beannounced soon Review panel for open track Evaluation framework underdevelopment
  49. 49. Summary and outlookSummary Different ways of using LD in education (knowledge source, disambiguation, interlinking, enrichment) Vast amounts of useful data LinkedUp (http://linkedup-project.eu): Linked Education data catalog (http://data.linkededucation.org/linkedup/catalog/): Linked Data-based catalog of open educational datasets (dataset metadata about, types, topics etc) On the way: exposing non-LD educational data according to LD priniciples (eg LAK dataset)Future work Query federation and dedicated APIs Exploitation in innovative educational scenarios and applications => LinkedUp Challenge(http://linkedup-challenge.org)Stefan Dietze 13/05/13
  50. 50. Linked Learning 2013 @ WWW2013in a nutshell CKAN linkededucation LAK tutorial LAK Data LAK challenge LILE2013 @ www19/02/2013 50Stefan Dietzehttp://lile2013.linkededucation.org/
  51. 51. References Interlinking educational Resources and the Web of Data – a Survey of Challenges and Approaches, Stefan Dietze,Salvador Sanchez-Alonso, Hannes Ebner, Hong Qing Yu, Daniela Giordano, Ivana Marenzi, Bernardo Pereira Nunes, EmeraldProgram: electronic Library and Information Systems, Volume 47, Issue 1 (2013). Assessing the Educational Linked Data Landscape, D’Aquin, M., Adamou, A., Dietze, S., ACM Web Science 2013(WebSci2013), Paris, France, May 2013. Linked Education: interlinking educational Resources and the Web of Data, Stefan Dietze, Honq Qing Yu,Daniela Giordano, Eleni Kaldoudi, Nikolas Dovrolis and Davide Taibi, ACM Symposium On Applied Computing (SAC-2012),Special Track on Semantic Web and Applications As Simple As It Gets – A sentence simplifier for different learning levels and contextsNunes, B. P., Kawase, R., Siehndel, P., Casanova, M.A., Dietze, S., in ICALT 2013: 13th IEEE International Conference onAdvanced Learning Technologies (ICALT), Beijing, China, July 15-18 (2013). Fostering analytics on learning analytics research: the LAK dataset, Taibi, D., Dietze, S., Technical Report, 03/2013, URL:http://resources.linkededucation.org/2013/03/lak-dataset-taibi.pdf Semantic Web Journal Special Issue on Linked Data for Science and Education. , Kessler C., d’Aquin M. and Dietze S. (eds)http://iospress.metapress.com/content/m87017012802/ Putting Linked Data to Use in a Large Higher-Education OrganisationMathieu d’Aquin, Interacting with Linked Data workshop 2012 Information Organization on the Internet based on Heterogeneous Social Networks, Kaldoudi, E., Dovrolis, N., Dietze, S.,29th ACM International Conference on Design of Communication (ACM SIGDOC’11), Pisa, 2011. MetaMorphosis+ – A social network of educational Web resources based on semantic integration of services and data,Dietze, S., Kaldoudi, E., Dovrolis, N., Yu, H.Q., Taibi, D. (2011), 10th International Semantic Web Conference (ISWC2011),Bonn, GermanyStefan Dietze 13/05/13
  52. 52. Thank you!Contact http://purl.org/dietze | @stefandietzeSee also (general) http://linkedup-project.eu http://linkedup-challenge.orghttp://linkededucation.org http://linkeduniversities.orgSee also (data) http://datahub.io/group/linked-education http://data.linkededucation.org/linkedup/catalog / http://www.solaresearch.org/resources/lak-dataset/ http://datahub.io/dataset/meducatorStefan Dietze 13/05/13

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