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Open Data Dialog 2013 - Linked Data in Education

Stefan Dietze, profile picture
Stefan Dietze

The document discusses opportunities and challenges of using linked data in education. It begins by outlining how linked data principles can be useful for sharing educational data by providing background knowledge and common standards and vocabularies. However, it notes that currently only a few datasets are actually reused or linked, in part due to heterogeneity in datasets, unreliable metadata, and a lack of links between datasets. The LinkedUp project aims to address these issues by collecting and profiling open educational datasets, generating links between them, and building applications and tools to help utilize the data. Key activities include developing a dataset catalog, generating topic profiles of datasets, running challenges to identify innovative applications, and engaging stakeholders.

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Motivation Data on the Web Some eyecatching opener illustrating growth and or diversity of web data Linked Data and Education – Opportunities, Challenges & the case of LinkedUp Stefan Dietze (L3S Research Center, DE, @stefandietze, http://purl.org/dietze) Stefan Dietze 18/11/13
Once upon a time (just a short while ago in fact) ? „blurb… „blurb… Berlin ...main Tiergarten … station… Bahnhof…“ „blurb… Berlin central…“ HTML pages Stefan Dietze „…waiting @ #berlinhbf“ Social Data „…Lehrter Bahnhof…“ PDFs 18/11/13
“A little semantics goes a long way” (J. 1) Hendler Semantic Web dbp:populatedPlace  Adding meaning through shared vocabularies and schemas (eg DBpedia) typeOf dbp:Berlin typeOf city  W3C standards RDF & SPARQL for data & knowledge representation and querying  Persistent URIs to reference & interlink data on the Web dbp:Tiergarten location dbp:Berlin_Hauptbahnhof redirectOf dbp:Berlin_Central_Station „blurb… „blurb… Berlin ...main Tiergarten … station… Bahnhof…“ „blurb… Berlin central…“ HTML pages 1 Hendler, redirectOf dbp:Lehrter_Bahnhof „…waiting @ #berlinhbf“ Social Data J., The Dark Side of the Semantic Web, IEEE Intelligent Systems, Jan/Feb 2007 „…Lehrter Bahnhof…“ PDFs
Semantic Web / Linked Data  Use of URIs, RDF and SPARQL for exposing data  De-facto standard for sharing data on the Web rNews  Vision: well connected graph of open Web data  350+ datasets and 32 billion triples in LOD Cloud alone Media Ontology Geo Ontology  Other „incarnations“:  Google Knowledge Graph  Facebook Open Graph Dublin Core DBpedia Ontology  http://schema.org FOAF FMA Ontology BIBO Gene Ontology Source: http://lod-cloud.net/state, September 2011
Linked Data for Education – How is it useful? 1. Linked Data as body of knowledge for education  vast amount of publicly available resources and data (300+ datasets, 32 billion statements LOD alone)  Dedicated OER and university data + „knowledge resources“ (from DBpedia to Slideshare) 2. Linked Data as set of principles and W3C standards for data sharing  RDF, SPARQL & shared vocabularies to improve interoperability of educational data  Supports Open Education Resources (OER) vision: reuse across isolated platforms  „HTTP-accessibility“ (SPARQL, URI-dereferencing) http://linkeduniversities.org  „Structure“ & „Semantics“ (=> shared/linked vocabularies) http://linkededucation.org  „Interlinked“  „Persistent“  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 Wealth18/11/13 of Learning, Stefan Dietze
How LD principles can be useful for data sharing LD as background knowledge http://dbpedia.org/resources/Berlin  „HTTP-accessibility“ (SPARQL, URI-dereferencing)  „Structure“ & „Semantics“ (=> shared/linked vocabularies)  „Interlinked“  „Persistent“  Trusted knowledge, exposed via established standards  Shared semantics (enrichment, disambiguation) Stefan Dietze 18/11/13
How LD principles can be useful for data sharing LD as background knowledge Combining a co-occurrence-based and a semantic measure for entity linking, B. P. Nunes, S. Dietze, M.A. Casanova, R. Kawase, B. Fetahu, and W. Nejdl., ESWC 2013 - 10th Extended Semantic Web Conference, (May 2013). Slideset <sioc:Item 2139393292> <title>Planetary motion & gravity</title> … </sioc:Item 2139393292> Semantics of terms? Topics/categories addressed? Relatedness of resources/entities? (types, semantics) Programme Video <po:Programme519215> <po:Series>Wonders of the Solar System</po:Series> <po:Episode>Emp. of the Sun</po:Episode> <po:Actor>Brian Cox</po:Actor> </po:Programme519215 > <yo:Video 8748720> <dc:title>Pluto & the Dwarf Planets</dc:title> … </yo:Video 8748720> Stefan Dietze 18/11/13
How LD principles can be useful for data sharing LD as background knowledge Pluto? Brian Cox? Sun? Programme Video <po:Programme519215> <po:Series>Wonders of the Solar System</po:Series> <po:Episode>Emp. of the Sun</po:Episode> <po:Actor>Brian Cox</po:Actor> </po:Programme519215 > <yo:Video 8748720> <dc:title>Pluto & the Dwarf Planets</dc:title> … </yo:Video 8748720> Stefan Dietze 18/11/13
How LD principles can be useful for data sharing LD as background knowledge Slideset db:Astronomy <sioc:Item 2139393292> <title>Planetary motion & gravity</title> … </sioc:Item 2139393292> db:Astronomical Objects db:Pluto (Dwarf Planet) db:Sun Programme Video <po:Programme519215> <po:Series>Wonders of the Solar System</po:Series> <po:Episode>Emp. of the Sun</po:Episode> <po:Actor>Brian Cox</po:Actor> </po:Programme519215 > <yo:Video 8748720> <dc:title>Pluto & the Dwarf Planets</dc:title> … </yo:Video 8748720> Stefan Dietze 18/11/13
That’s awesome, but... …why are there so few datasets actually used? Hm, really?  LD reuse and links very much focused on trusted „reference graphs“ such as DBpedia  Long tail of LD datasets which are neither reused nor linked to (LOD Cloud alone consists of 300+ datasets)  „HTTP-accessibility“ (SPARQL, URI-dereferencing)  Explanations?  „Structure“ & „Semantics“ (=> shared/linked vocabularies)  „Interlinked“  „Persistent“ Stefan Dietze 18/11/13
LD is more heterogeneous than we think SPARQL Web-Querying Infrastructure: Ready for Action?, Carlos Buil-Aranda, Aidan Hogan, Jürgen Umbrich Pierre-Yves Vandenbussch, International Semantic Web Conference 2013, (ISWC2013). “Availability” & “Standards” ?  Less than 50% of all SPARQL endpoints actually responsive at given point of time (“high reliability”)  “THE” SPARQL protocol? No, but many subsets/variants  Huge differences in response times SPARQL endpoint availability over time [Buil-Aranda et al 2013] Shared vocabularies & schemas, but:  …still very heterogeneous [d’Aquin, WebSci13]  …data partially messy an not conformant (RDFS, schemas) [HoganJWS2012]  …even widely used reference datasets such as DBpedia noisy [Fürber2010] Co-occurence graph of data types in 146 datasets: 144 Vocabularies, 588 highly overlapping types, 719 Properties Assessing the Educational Linked Data Landscape, D’Aquin, M., Adamou, A., Dietze, S., ACM Web Science 2013 (WebSci2013), Paris, France, May 2013. Using semantic web resources for data quality management. Fürber, C., Hepp, M..2010,. In Proceedings of the 17th international conference on Knowledge engineering and management by the masses (EKAW'10), Springer-Verlag, Berlin, Heidelberg, 211-225. An empirical survey of Linked Data conformance. Hogan, A., Umbrich, J., Harth, A., Cyganiak, R., Polleres, A., Decker., S., In the Journal of Web Semantics 14: pp. 14–44, 2012
(Linked) Open Data for Educationnutshell Using/exploiting Linked Data in Education ? (Open) Educational Resources  Lack of reliable dataset metadata about  Resource types  Topics & disciplines  Quality, currentness & availability  Provenance  Lack of links Distance Universities and cross-dataset references  Lack of federated query approaches  …. World Wide Web Linked Open Data MOOCs  http://linkededucation.org & Stefan Dietze  http://linkeduniversities.org 18/11/13
“LinkedUp” – Linking Web Data for Education L European project aimed at advancing take-up of open data and related technologies http://linkedup-project.eu Success models: data & applications http://data.linkededucation.org Data curation  Collecting & exposing open data of educational relevance => LinkedUp Data Catalog  Profiling and linking of Web Data for education => educational data graph  LinkedUp Challenge to identify innovative tools & applications  Evaluation methods and approaches http://www.linkedup-challenge.org/ Technology transfer & community-building  Disseminating knowledge & building communities (educators, computer scientists, data engineers)  Gathering stakeholder feedback: use cases, and requirements http://linkedup-project.eu/events Stefan Dietze http://linkedup-challenge.org/#usecases 18/11/13 13
Who we areL LinkedUp Advisory Board LinkedUp Network LinkedUp Consortium 17/09/2013 Stefan Dietze 18/11/13 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 Success models: data & applications http://data.linkededucation.org Data curation  Collecting & exposing open data of educational relevance => LinkedUp Data Catalog  Profiling and linking of Web Data for education => educational data graph  LinkedUp Challenge to identify innovative tools & applications  Evaluation methods and approaches http://www.linkedup-challenge.org/ Technology transfer & community-building  Disseminating knowledge & building communities (educators, computer scientists, data engineers)  Gathering stakeholder feedback: use cases, and requirements http://linkedup-project.eu/events Stefan Dietze http://linkedup-challenge.org/#usecases 18/11/13
Data curation and dataset profiling LinkedUp approach  Goal: helping data consumers to discover and use suitable datasets  Dataset selection: “LinkedUp/Linked Education cloud” (http://datahub.io/groups/linked-education)  RDF (VoID) catalog of datasets (LinkedUp Catalog): classification of datasets according to, eg, represented types, disciplines/topics, data quality, accessability  Links and coreferences => unified view on data => Linked Education Graph  Infrastructure, unified (SPARQL) endpoint & APIs for federated querying Automated processing to generate:  Descriptive VoID/RDF Dataset Catalog  Data links LinkedUp Catalog Educational Datasets Stefan Dietze 18/11/13
LinkedUp Data Catalog in VoIDnutshell browse, explore and query for  a dataset catalog: http://data.linkededucation.org/linkedup/catalog/ http://datahub.io/group/linked-education datasets/types  Federated queries using type mappings Stefan Dietze 18/11/13
What‘s all the data about: dataset profiling Issue:  Considering LOD as knowledge graph, most nodes are connected Slideset db:Astronomy <sioc:Item 2139393292> <title>Planetary motion & gravity</title> … </sioc:Item 2139393292>  Relevance of topics (DBpedia entities & categories) for particular resources and datasets?  „Topic profile“ of a given dataset? db:Astronomical Objects db:Sun Programme db:Pluto (Dwarf Planet) Video <po:Programme519215> <po:Series>Wonders of the Solar System</po:Series> <po:Episode>Emp. of the Sun</po:Episode> <po:Actor>Brian Cox</po:Actor> </po:Programme519215 > <yo:Video 8748720> <dc:title>Pluto & the Dwarf Planets</dc:title> … </yo:Video 8748720> Stefan Dietze 18/11/13
What‘s all the data about: dataset profiling Generating structured Profiles of Linked Data Graphs, Fetahu, B; Adamou, A., Dietze, S., d’Aquin, M., Nunes, B.P., ISWC2013 – 12th International Semantic Web Conference;  Goal: extracting representative „topic profile“ for datasets  How: computing of normalised (DBpedia) category relevance scores from sample resource sets (scalability vs representativeness)  Applied to entire LOD cloud db:Astronomy DBpedia category graph db:Astronomical Objects db:Sun Programme <po:Programme519215> <po:Series>Wonders of the Solar System</po:Series> <po:Episode>Emp. of the Sun</po:Episode> <po:Actor>Brian Cox</po:Actor> </po:Programme519215 > Stefan Dietze 18/11/13
Dataset profile explorer http://data.linkededucation.org/linkedup/categories-explorer http://data.linkededucation.org/request/pipeline/sparql http://data.linkededucation.org/
“LinkedUp” – Linking Web Data for Education L European project aimed at advancing take-up of open data and related technologies http://linkedup-project.eu Success models: data & applications Data curation  Collecting & exposing open data of educational relevance => LinkedUp Data Catalog  Profiling and linking of Web Data for education => educational data graph  LinkedUp Challenge to identify innovative tools & applications  Evaluation methods and approaches http://www.linkedup-challenge.org/  Series of 3 competitions („Veni“, „Vidi“, „Vici“) running until end of 2014  Disseminating knowledge &  Open & focused tracks building communities  Total prize budget of almost 40.000 EUR (educators, computer Technology engineers) scientists, data transfer  LinkedUp support activities & community-building http://www.linkedup-challenge.org/  Gathering stakeholder feedback: use cases, and requirements Stefan Dietze 18/11/13
Veni Competition  Tools and demos that analyse or integrate open web data (deadline: 27 June, 1 Open Track, 10.000 EUR awards)  22 submissions, shortlist of 8, from which:  3 winners  People's Choice Award  Final ceremony on 17 September at OKCon, Geneva 17 September 2013, Geneva Stefan Dietze 18/11/13
The Shortlist incl. 2nd/3rd/People’s Choice DataConf. http://www.globe-town.org/ ReCredible KnowNodes GlobeTown - 2nd price http://seek.cloud.gsic.tel.uva.es/weshare/ 18/11/13 YourHistory WeShare - 3rd price / people‘s choice Mismuseos
st 1 Place: PoliMedia Exploring political debates & events  Cross-media analysis of political events.  Browsing parliament debates & related media coverage http://www.polimedia.nl/  Automatically generated links between transcripts debates, newspaper articles, including their original lay-out on the page, and radio bulletins.  Generated data available as Linked Data (http://data.polimedia.nl)  Data sources: 1) newspapers in their original layout of the historical newspaper archive, and 2) radio bulletins of the Dutch National Press Agency (ANP)  9000+ debates (1945 – 1995)  Over 3000 media links Martijn Kleppe, Max Kemman, Henri Beunders (Erasmus Universiteit Rotterdam), Laura Hollink Damir Juric (Vrije Universiteit Amsterdam), Johan Oomen Jaap Dietze (Nederlands Instituut voor Beeld en Geluid) Stefan Blom 09/04/13
Outlook LinkedUp Veni Competition  Wanted: tools and demos that analyse or integrate open web data (for education)  Anyone can participate - researchers, students, developers, industry  “Open track” & “focused tracks”  20.000+ EUR worth of awards  Final awards ceremony at 11th Extended Semantic Web Conference (ESWC2014)  http://linkedup-challenge.org/ Submission: 14 February 2014 Learning Analytics & Knowledge (LAK) Data Challenge  Analyse, apply, use, exploit the „LAK Dataset“  Finals at Learning Analytics & Knowledge Conference 2014, Indianapolis, US  http://lak.linkededucation.org/ Submission: 20th January 18/11/13 25
Thank you! Contact  http://purl.org/dietze | @stefandietze See also (data)  http://datahub.io/group/linked-education  http://data.linkededucation.org  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 Stefan Dietze 18/11/13

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Open Data Dialog 2013 - Linked Data in Education

  • 1. Motivation Data on the Web Some eyecatching opener illustrating growth and or diversity of web data Linked Data and Education – Opportunities, Challenges & the case of LinkedUp Stefan Dietze (L3S Research Center, DE, @stefandietze, http://purl.org/dietze) Stefan Dietze 18/11/13
  • 2. Once upon a time (just a short while ago in fact) ? „blurb… „blurb… Berlin ...main Tiergarten … station… Bahnhof…“ „blurb… Berlin central…“ HTML pages Stefan Dietze „…waiting @ #berlinhbf“ Social Data „…Lehrter Bahnhof…“ PDFs 18/11/13
  • 3. “A little semantics goes a long way” (J. 1) Hendler Semantic Web dbp:populatedPlace  Adding meaning through shared vocabularies and schemas (eg DBpedia) typeOf dbp:Berlin typeOf city  W3C standards RDF & SPARQL for data & knowledge representation and querying  Persistent URIs to reference & interlink data on the Web dbp:Tiergarten location dbp:Berlin_Hauptbahnhof redirectOf dbp:Berlin_Central_Station „blurb… „blurb… Berlin ...main Tiergarten … station… Bahnhof…“ „blurb… Berlin central…“ HTML pages 1 Hendler, redirectOf dbp:Lehrter_Bahnhof „…waiting @ #berlinhbf“ Social Data J., The Dark Side of the Semantic Web, IEEE Intelligent Systems, Jan/Feb 2007 „…Lehrter Bahnhof…“ PDFs
  • 4. Semantic Web / Linked Data  Use of URIs, RDF and SPARQL for exposing data  De-facto standard for sharing data on the Web rNews  Vision: well connected graph of open Web data  350+ datasets and 32 billion triples in LOD Cloud alone Media Ontology Geo Ontology  Other „incarnations“:  Google Knowledge Graph  Facebook Open Graph Dublin Core DBpedia Ontology  http://schema.org FOAF FMA Ontology BIBO Gene Ontology Source: http://lod-cloud.net/state, September 2011
  • 5. Linked Data for Education – How is it useful? 1. Linked Data as body of knowledge for education  vast amount of publicly available resources and data (300+ datasets, 32 billion statements LOD alone)  Dedicated OER and university data + „knowledge resources“ (from DBpedia to Slideshare) 2. Linked Data as set of principles and W3C standards for data sharing  RDF, SPARQL & shared vocabularies to improve interoperability of educational data  Supports Open Education Resources (OER) vision: reuse across isolated platforms  „HTTP-accessibility“ (SPARQL, URI-dereferencing) http://linkeduniversities.org  „Structure“ & „Semantics“ (=> shared/linked vocabularies) http://linkededucation.org  „Interlinked“  „Persistent“  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 Wealth18/11/13 of Learning, Stefan Dietze
  • 6. How LD principles can be useful for data sharing LD as background knowledge http://dbpedia.org/resources/Berlin  „HTTP-accessibility“ (SPARQL, URI-dereferencing)  „Structure“ & „Semantics“ (=> shared/linked vocabularies)  „Interlinked“  „Persistent“  Trusted knowledge, exposed via established standards  Shared semantics (enrichment, disambiguation) Stefan Dietze 18/11/13
  • 7. How LD principles can be useful for data sharing LD as background knowledge Combining a co-occurrence-based and a semantic measure for entity linking, B. P. Nunes, S. Dietze, M.A. Casanova, R. Kawase, B. Fetahu, and W. Nejdl., ESWC 2013 - 10th Extended Semantic Web Conference, (May 2013). Slideset <sioc:Item 2139393292> <title>Planetary motion & gravity</title> … </sioc:Item 2139393292> Semantics of terms? Topics/categories addressed? Relatedness of resources/entities? (types, semantics) Programme Video <po:Programme519215> <po:Series>Wonders of the Solar System</po:Series> <po:Episode>Emp. of the Sun</po:Episode> <po:Actor>Brian Cox</po:Actor> </po:Programme519215 > <yo:Video 8748720> <dc:title>Pluto & the Dwarf Planets</dc:title> … </yo:Video 8748720> Stefan Dietze 18/11/13
  • 8. How LD principles can be useful for data sharing LD as background knowledge Pluto? Brian Cox? Sun? Programme Video <po:Programme519215> <po:Series>Wonders of the Solar System</po:Series> <po:Episode>Emp. of the Sun</po:Episode> <po:Actor>Brian Cox</po:Actor> </po:Programme519215 > <yo:Video 8748720> <dc:title>Pluto & the Dwarf Planets</dc:title> … </yo:Video 8748720> Stefan Dietze 18/11/13
  • 9. How LD principles can be useful for data sharing LD as background knowledge Slideset db:Astronomy <sioc:Item 2139393292> <title>Planetary motion & gravity</title> … </sioc:Item 2139393292> db:Astronomical Objects db:Pluto (Dwarf Planet) db:Sun Programme Video <po:Programme519215> <po:Series>Wonders of the Solar System</po:Series> <po:Episode>Emp. of the Sun</po:Episode> <po:Actor>Brian Cox</po:Actor> </po:Programme519215 > <yo:Video 8748720> <dc:title>Pluto & the Dwarf Planets</dc:title> … </yo:Video 8748720> Stefan Dietze 18/11/13
  • 10. That’s awesome, but... …why are there so few datasets actually used? Hm, really?  LD reuse and links very much focused on trusted „reference graphs“ such as DBpedia  Long tail of LD datasets which are neither reused nor linked to (LOD Cloud alone consists of 300+ datasets)  „HTTP-accessibility“ (SPARQL, URI-dereferencing)  Explanations?  „Structure“ & „Semantics“ (=> shared/linked vocabularies)  „Interlinked“  „Persistent“ Stefan Dietze 18/11/13
  • 11. LD is more heterogeneous than we think SPARQL Web-Querying Infrastructure: Ready for Action?, Carlos Buil-Aranda, Aidan Hogan, Jürgen Umbrich Pierre-Yves Vandenbussch, International Semantic Web Conference 2013, (ISWC2013). “Availability” & “Standards” ?  Less than 50% of all SPARQL endpoints actually responsive at given point of time (“high reliability”)  “THE” SPARQL protocol? No, but many subsets/variants  Huge differences in response times SPARQL endpoint availability over time [Buil-Aranda et al 2013] Shared vocabularies & schemas, but:  …still very heterogeneous [d’Aquin, WebSci13]  …data partially messy an not conformant (RDFS, schemas) [HoganJWS2012]  …even widely used reference datasets such as DBpedia noisy [Fürber2010] Co-occurence graph of data types in 146 datasets: 144 Vocabularies, 588 highly overlapping types, 719 Properties Assessing the Educational Linked Data Landscape, D’Aquin, M., Adamou, A., Dietze, S., ACM Web Science 2013 (WebSci2013), Paris, France, May 2013. Using semantic web resources for data quality management. Fürber, C., Hepp, M..2010,. In Proceedings of the 17th international conference on Knowledge engineering and management by the masses (EKAW'10), Springer-Verlag, Berlin, Heidelberg, 211-225. An empirical survey of Linked Data conformance. Hogan, A., Umbrich, J., Harth, A., Cyganiak, R., Polleres, A., Decker., S., In the Journal of Web Semantics 14: pp. 14–44, 2012
  • 12. (Linked) Open Data for Educationnutshell Using/exploiting Linked Data in Education ? (Open) Educational Resources  Lack of reliable dataset metadata about  Resource types  Topics & disciplines  Quality, currentness & availability  Provenance  Lack of links Distance Universities and cross-dataset references  Lack of federated query approaches  …. World Wide Web Linked Open Data MOOCs  http://linkededucation.org & Stefan Dietze  http://linkeduniversities.org 18/11/13
  • 13. “LinkedUp” – Linking Web Data for Education L European project aimed at advancing take-up of open data and related technologies http://linkedup-project.eu Success models: data & applications http://data.linkededucation.org Data curation  Collecting & exposing open data of educational relevance => LinkedUp Data Catalog  Profiling and linking of Web Data for education => educational data graph  LinkedUp Challenge to identify innovative tools & applications  Evaluation methods and approaches http://www.linkedup-challenge.org/ Technology transfer & community-building  Disseminating knowledge & building communities (educators, computer scientists, data engineers)  Gathering stakeholder feedback: use cases, and requirements http://linkedup-project.eu/events Stefan Dietze http://linkedup-challenge.org/#usecases 18/11/13 13
  • 14. Who we areL LinkedUp Advisory Board LinkedUp Network LinkedUp Consortium 17/09/2013 Stefan Dietze 18/11/13 14
  • 15. “LinkedUp” – Linking Web Data for Education L European project aimed at advancing take-up of open data and related technologies http://linkedup-project.eu Success models: data & applications http://data.linkededucation.org Data curation  Collecting & exposing open data of educational relevance => LinkedUp Data Catalog  Profiling and linking of Web Data for education => educational data graph  LinkedUp Challenge to identify innovative tools & applications  Evaluation methods and approaches http://www.linkedup-challenge.org/ Technology transfer & community-building  Disseminating knowledge & building communities (educators, computer scientists, data engineers)  Gathering stakeholder feedback: use cases, and requirements http://linkedup-project.eu/events Stefan Dietze http://linkedup-challenge.org/#usecases 18/11/13
  • 16. Data curation and dataset profiling LinkedUp approach  Goal: helping data consumers to discover and use suitable datasets  Dataset selection: “LinkedUp/Linked Education cloud” (http://datahub.io/groups/linked-education)  RDF (VoID) catalog of datasets (LinkedUp Catalog): classification of datasets according to, eg, represented types, disciplines/topics, data quality, accessability  Links and coreferences => unified view on data => Linked Education Graph  Infrastructure, unified (SPARQL) endpoint & APIs for federated querying Automated processing to generate:  Descriptive VoID/RDF Dataset Catalog  Data links LinkedUp Catalog Educational Datasets Stefan Dietze 18/11/13
  • 17. LinkedUp Data Catalog in VoIDnutshell browse, explore and query for  a dataset catalog: http://data.linkededucation.org/linkedup/catalog/ http://datahub.io/group/linked-education datasets/types  Federated queries using type mappings Stefan Dietze 18/11/13
  • 18. What‘s all the data about: dataset profiling Issue:  Considering LOD as knowledge graph, most nodes are connected Slideset db:Astronomy <sioc:Item 2139393292> <title>Planetary motion & gravity</title> … </sioc:Item 2139393292>  Relevance of topics (DBpedia entities & categories) for particular resources and datasets?  „Topic profile“ of a given dataset? db:Astronomical Objects db:Sun Programme db:Pluto (Dwarf Planet) Video <po:Programme519215> <po:Series>Wonders of the Solar System</po:Series> <po:Episode>Emp. of the Sun</po:Episode> <po:Actor>Brian Cox</po:Actor> </po:Programme519215 > <yo:Video 8748720> <dc:title>Pluto & the Dwarf Planets</dc:title> … </yo:Video 8748720> Stefan Dietze 18/11/13
  • 19. What‘s all the data about: dataset profiling Generating structured Profiles of Linked Data Graphs, Fetahu, B; Adamou, A., Dietze, S., d’Aquin, M., Nunes, B.P., ISWC2013 – 12th International Semantic Web Conference;  Goal: extracting representative „topic profile“ for datasets  How: computing of normalised (DBpedia) category relevance scores from sample resource sets (scalability vs representativeness)  Applied to entire LOD cloud db:Astronomy DBpedia category graph db:Astronomical Objects db:Sun Programme <po:Programme519215> <po:Series>Wonders of the Solar System</po:Series> <po:Episode>Emp. of the Sun</po:Episode> <po:Actor>Brian Cox</po:Actor> </po:Programme519215 > Stefan Dietze 18/11/13
  • 21. “LinkedUp” – Linking Web Data for Education L European project aimed at advancing take-up of open data and related technologies http://linkedup-project.eu Success models: data & applications Data curation  Collecting & exposing open data of educational relevance => LinkedUp Data Catalog  Profiling and linking of Web Data for education => educational data graph  LinkedUp Challenge to identify innovative tools & applications  Evaluation methods and approaches http://www.linkedup-challenge.org/  Series of 3 competitions („Veni“, „Vidi“, „Vici“) running until end of 2014  Disseminating knowledge &  Open & focused tracks building communities  Total prize budget of almost 40.000 EUR (educators, computer Technology engineers) scientists, data transfer  LinkedUp support activities & community-building http://www.linkedup-challenge.org/  Gathering stakeholder feedback: use cases, and requirements Stefan Dietze 18/11/13
  • 22. Veni Competition  Tools and demos that analyse or integrate open web data (deadline: 27 June, 1 Open Track, 10.000 EUR awards)  22 submissions, shortlist of 8, from which:  3 winners  People's Choice Award  Final ceremony on 17 September at OKCon, Geneva 17 September 2013, Geneva Stefan Dietze 18/11/13
  • 23. The Shortlist incl. 2nd/3rd/People’s Choice DataConf. http://www.globe-town.org/ ReCredible KnowNodes GlobeTown - 2nd price http://seek.cloud.gsic.tel.uva.es/weshare/ 18/11/13 YourHistory WeShare - 3rd price / people‘s choice Mismuseos
  • 24. st 1 Place: PoliMedia Exploring political debates & events  Cross-media analysis of political events.  Browsing parliament debates & related media coverage http://www.polimedia.nl/  Automatically generated links between transcripts debates, newspaper articles, including their original lay-out on the page, and radio bulletins.  Generated data available as Linked Data (http://data.polimedia.nl)  Data sources: 1) newspapers in their original layout of the historical newspaper archive, and 2) radio bulletins of the Dutch National Press Agency (ANP)  9000+ debates (1945 – 1995)  Over 3000 media links Martijn Kleppe, Max Kemman, Henri Beunders (Erasmus Universiteit Rotterdam), Laura Hollink Damir Juric (Vrije Universiteit Amsterdam), Johan Oomen Jaap Dietze (Nederlands Instituut voor Beeld en Geluid) Stefan Blom 09/04/13
  • 25. Outlook LinkedUp Veni Competition  Wanted: tools and demos that analyse or integrate open web data (for education)  Anyone can participate - researchers, students, developers, industry  “Open track” & “focused tracks”  20.000+ EUR worth of awards  Final awards ceremony at 11th Extended Semantic Web Conference (ESWC2014)  http://linkedup-challenge.org/ Submission: 14 February 2014 Learning Analytics & Knowledge (LAK) Data Challenge  Analyse, apply, use, exploit the „LAK Dataset“  Finals at Learning Analytics & Knowledge Conference 2014, Indianapolis, US  http://lak.linkededucation.org/ Submission: 20th January 18/11/13 25
  • 26. Thank you! Contact  http://purl.org/dietze | @stefandietze See also (data)  http://datahub.io/group/linked-education  http://data.linkededucation.org  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 Stefan Dietze 18/11/13