Open Data & Education Seminar, ITMO, St Petersburg, March 2014

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  • 1. Motivation Data on the Web Some eyecatching opener illustrating growth and or diversity of web data Learning & Education with the Web of Data Stefan Dietze (L3S Research Center, DE, @stefandietze, http://purl.org/dietze) Stefan Dietze 10/03/14
  • 2. Research areas  Web science, Information Retrieval, Semantic Web & Linked Data, data & knowledge integration (mapping, classification, interlinking)  Application domains: education/TEL, Web archiving, … Some projects Introduction http://www.l3s.de/ Stefan Dietze 10/03/14 2 See also: http://purl.org/dietze (Linked) Web data & education  Early activities in the field: tutorials, workshops, competitions (LILE – Linked Learning, LAK Data Challenge…)  http://linkededucation.org & http://linkeduniversities.org
  • 3. Open Education requires Open Data (Open) Educational Resources World Wide Web Distance Universities Linked Open Data MOOCs Stefan Dietze 10/03/14  http://linkededucation.org &  http://linkeduniversities.org
  • 4. Actually, how “open” is open educational data? Just a short while ago... Educational Data on the Web  Open Educational Resource (OER) metadata & MOOC collections (e.g. OCW, OpenLearn, Merlot, Coursera)  Competing Web interfaces (e.g. OAI-PMH, SOAP, REST)  Competing metadata standards (e.g. IEEE LOM, ADL SCORM, DC…) & taxonomies & exchange formats (JSON, RDF, XML)  Issues: heterogeneity & lack of interoperability Stefan Dietze 10/03/14
  • 5. Actually, how “open” is open educational data? Just a short while ago... Linked (Open) Data  Vision: well connected graph of open Web data  W3C standards (RDF, SPARQL) to expose data, URIs to interlink datasets => cloud of interconnected datasets  32 billion triples (2011), crossing all sorts of domains  Other incarnations: Google Knowledge Graph, schema.org, FB Open Graph… Educational Data on the Web  Open Educational Resource (OER) metadata & MOOC collections (e.g. OCW, OpenLearn, Merlot, Coursera)  Competing Web interfaces (e.g. OAI-PMH, SOAP, REST)  Competing metadata standards (e.g. IEEE LOM, ADL SCORM, DC…) & taxonomies & exchange formats (JSON, RDF, XML)  Issues: heterogeneity & lack of interoperability Pictures (c) by Paul Miller Stefan Dietze 10/03/14
  • 6. A shorter while ago Bringing OER into the LOD landscape  http://datahub.io/dataset/meducator  Manually curated and automatically exported & enriched OER from variety of sources  > 35000 triples so far  > enrichments to DBpedia & Bioportal ontologies  APIs used by several applications Automated data lifting & enrichment Stefan Dietze 10/03/14
  • 7. Using LD in (medical) educational applications Recommending educational resources across repositories http://metamorphosis.med.duth.gr Using LD for integrating educational resources from range of universities and OER repositories (eg Open Learn, Open Courseware etc)
  • 8. “Structured” descriptions of OER? http://metamorphosis.med.duth.gr Metadata of educational resource (virtual patient) lifted into RDF
  • 9. ? Making sense of (medical) educational data Stefan Dietze 10/03/14
  • 10. ? ? ? ? Making sense of (medical) educational resources
  • 11. ! ! Entity recognition (NER) & disambiguation, via Stefan Dietze 10/03/14 Adding semantics to OER descriptions
  • 12. ! Disease Life Sciences Medicine ofType One simple link – lots of knowledge/semantics Stefan Dietze 10/03/14
  • 13. before vs after Embedding educational repositories into a joint graph
  • 14. Linked Data for Learning – How is it useful? Stefan Dietze 1. Linked Data for data sharing, enrichment and interpretation  RDF, SPARQL & shared vocabularies to improve interoperability of learning/user data  facilitate OER reuse vision across isolated platforms 2. Linked Data as body of knowledge for learning & education  Vast amount of publicly available resources and data  Dedicated OER and university data + „knowledge resources“ (from DBpedia to Slideshare) 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, Emerald Program: electronic Library and Information Systems, Volume 47, Issue 1 (2013). Linked Data for Open and Distance Learning, Mathieu d’Aquin, report for the Common Wealth of Learning,  „HTTP-accessibility“ (SPARQL, URI-dereferencing)  „Structure“ & „Semantics“ (=> shared/linked vocabularies)  „Interlinked“  „Persistent“ 10/03/14  http://linkededucation.org &  http://linkeduniversities.org
  • 15. Success models: data & applications Stefan Dietze 10/03/14 18  LinkedUp Challenge to identify innovative tools & applications  Evaluation methods and approaches “LinkedUp” – Linking Web Data for Education L Data curation Technology transfer & community-building  Collecting & exposing open data of educational relevance => LinkedUp Data Catalog  Profiling and linking of Web Data for education => educational data graph  Disseminating knowledge & building communities (educators, computer scientists, data engineers)  Gathering stakeholder feedback: use cases, and requirements European project aimed at advancing take-up of open data and related technologies http://linkedup-challenge.org/#usecases http://linkedup-project.eu/events http://www.linkedup-challenge.org/ http://data.linkededucation.org http://linkedup-project.eu
  • 16. LinkedUp Network LinkedUp Consortium LinkedUp Advisory Board Stefan Dietze 10/03/14 “LinkedUp” – Linking Web Data for Education L European project aimed at advancing take-up of open data and related technologies http://linkedup-project.eu
  • 17. Too many/diverse datasets, too little information Stefan Dietze 10/03/14 ? ? ?  Which datasets are useful & trustworthy for case XY (eg „learning about the solar system“) ?  Which topics (eg „Astronomy“) are covered by dataset X?  Which datasets offer videos (slides, publications, statistics etc)? ?? ?
  • 18. Data curation and dataset profiling LinkedUp Dataset Catalog Stefan Dietze 10/03/14  Catalog of data (LinkedUp Catalog): classification of datasets according to resource types, disciplines/topics, data quality, accessability, etc  Infrastructure for distributed/federated querying describes  Which datasets are useful & trustworthy for case XY (eg „learning about the solar system“) ?  Which topics (eg „Astronomy“) are covered by dataset X?  Which datasets offer videos (slides, publications, statistics etc)?
  • 19. LinkedUp Data Catalog in a nutshell http://datahub.io/group/linked-education http://data.linkededucation.org/linkedup/catalog/  RDF (VoID) dataset catalog: browse & query distributed datasets  Live information about endpoint accessibility  Federated queries using type mappings Stefan Dietze 10/03/14
  • 20. What’s all the data about? - exploring topics/disciplinesll Stefan Dietze 10/03/14  Exploring of dataset-topic-graph (datasets, topics, relationships)  More during demo session http://data-observatory.org/lod-profiles/ A Scalable Approach for Efficiently Generating Structured Dataset Topic Profiles, Fetahu, B., Dietze, S., Nunes, B.P., Cassanova M., Nejdl, W. (2014), 11th Extended Semantic Web Conference, ESWC2014, Greece, May 2014.
  • 21. LinkedUp Challenge: using open data for learning  Open Data Competition to promote tools and applications that analyse / integrate (Linked) Web data  Organised by LinkedUp project over 2 years (“Veni”, “Vidi”, “Vici”) with 40.000 EUR awards  Veni Competition - 22 submissions, 8 shortlisted for presentation at Open Knowledge Conference (17 September, Geneva Switzerland)  Vici competition to be announced soon http://linkedup-challenge.org Stefan Dietze 10/03/14 26
  • 22. “Veni” shortlist & winners DataConf. KnowNodes Mismuseos ReCredible YourHistory 10/03/14 http://www.globe-town.org/ WeShare - 3rd price / people‘s choice GlobeTown - 2nd price http://seek.cloud.gsic.tel.uva.es/weshare/ http://www.polimedia.nl/ PoliMedia – 1st price
  • 23. Open educational data - some more resources  LinkedUp Challenge – Vici Competition (http://www.linkedup-challenge.org)  Calls coming soon  Learning Analytics & Knowledge Dataset (http://lak.linkededucation.org)  + associated annual challenge  data.l3s.de – the L3S DataHub (http://data.l3s.de)  Pointers to several of the mentioned datasets Stefan Dietze 10/03/14 28
  • 24.  Linked Data as enabler for educational resources sharing  Interpretation of user & resource (meta)data  Understanding of learning contexts  Tools & data for data disambiguation and integration  Cross-platform recommendations and analytics  Linked Data as body of knowledge for learning  Dedicated educational/learning content  Repurposing of knowledge resources (social media etc)  Challenge (=> LinkedUp)  Noise & diversity  Vici calls to be announced soon Conclusions Stefan Dietze 10/03/14 31
  • 25. Thank you! WWW See also (data)  http://datahub.io/group/linked-education  http://data.linkededucation.org  http://data.l3s.de  http://data.linkededucation.org/linkedup/catalog/  http://lak.linkededucation.org See also (general)  http://linkedup-project.eu  http://linkedup-challenge.org  http://linkededucation.org  http://linkeduniversities.org  http://purl.org/dietze 10/03/14 32Stefan Dietze  PROFILES workshop @ ESWC2014 (http://keystone-cost.eu/profiles2014)  Deadline: 14 March  Linking User Data 2014 at UMAP2014 (http://liud.linkededucation.org)  Deadline: 1 April  Online Learning & LD Tutorial at WWW2014 (http://www2014.kr/)  07 April, Seoul