0
State of Linked Data in Learning Analytics               And future…
Schedule8.30 Intro to the tutorial     Linked data and its potential in learning analytics scenarios     Basics of manipul...
What is (sometimes) being doneLinked data as basic underlying data modellingLinked data as data sourceSemantic Web for ont...
Going further                                                        Some                                                 ...
Going further                                                        Some                                          !      ...
From the LAK Data ChallengeStatistical analysis, network analysisExploration, facet search and browsingRecommendationVisua...
From LAKLinked data and semantic web in the CFP… butLAK 20131 paper with a strong linked data component1 tutorial (this on...
Going further                              data.ox.ac.uk                  mEducator   data.open.ac.uk                     ...
ChallengesData:                                       Technology:Overview of what exist                      Data mining i...
Collecting and cataloguing data            http://data.linkededucation.org/linkedup/catalog/
Architecture
Process
CKAN-based catalogue               http://datahub.io/group/linked-education
Data browsing interface            http://data.linkededucation.org/linkedup/catalog/
SPARQL endpoint       http://data.linkededucation.org/linkedup/catalog/sparql
Vocabularies in the datasets
Types in the datasets
Lightweight-Global integrationSimple manual mapping of the types   (classes) in the datasets to a set of   selected vocabu...
Supporting development            http://data.linkededucation.org/linkedup/devtalk/
Education/training eventsLAK 2013 tutorialUsing Linked Data in Learning AnalyticsWWW 2013 tutorialOpen learning and linked...
And of course, the Challenge!                                http://linkedup-challenge.org
Take home message  Linked Data is essential to Learning Analytics:        provides a flexible, reusable source of    infor...
State and future of linked data in learning analytics
State and future of linked data in learning analytics
Upcoming SlideShare
Loading in...5
×

State and future of linked data in learning analytics

744

Published on

Presentation at the "Using Linked Data in Learning Analytics" tutorial at LAK 2013.

Published in: Technology, Education
0 Comments
1 Like
Statistics
Notes
  • Be the first to comment

No Downloads
Views
Total Views
744
On Slideshare
0
From Embeds
0
Number of Embeds
1
Actions
Shares
0
Downloads
10
Comments
0
Likes
1
Embeds 0
No embeds

No notes for slide

Transcript of "State and future of linked data in learning analytics"

  1. 1. State of Linked Data in Learning Analytics And future…
  2. 2. Schedule8.30 Intro to the tutorial Linked data and its potential in learning analytics scenarios Basics of manipulating linked data10.30 Coffee break11.00 Using Linked Data in Analytics Tools Evaluation of the Linked Data applications12.30 Lunch13.30 Introduction to the LAK Data challenge Presentations from the LAK Data Challenge particiants15.30 Tea break16.30 Current state of Linked Data in Learning Analytics Results of the challenge Wrap up17.30 Finished
  3. 3. What is (sometimes) being doneLinked data as basic underlying data modellingLinked data as data sourceSemantic Web for ontological models and integrationSome use in recommendationSome use in visualisation / social network analysis
  4. 4. Going further Some other toolSPARQL endpoint SPARQL SPARQL CSV Results proxy Open Refine Excel RDF
  5. 5. Going further Some ! other toolSPARQL endpoint I SPARQL SPARQL N CSV G Results O R proxy B Open Refine Excel RDF
  6. 6. From the LAK Data ChallengeStatistical analysis, network analysisExploration, facet search and browsingRecommendationVisualisation / visual analyticsSearch and retrievalRethorical / narrative analysisTrend Analyis
  7. 7. From LAKLinked data and semantic web in the CFP… butLAK 20131 paper with a strong linked data component1 tutorial (this one)LAK 20121 workshop (LALD 2012)LAK 20111 paper on semantic social analysis 7
  8. 8. Going further data.ox.ac.uk mEducator data.open.ac.uk Lodum.de … Gephi Tableau Weka … Results / findings / insights / aggregates / … Interpretation Understanding
  9. 9. ChallengesData: Technology:Overview of what exist Data mining in linked dataIntegration – can we jointly query all of Linked data quality specification these things?Heterogeneity, dealing with multiple Provenance sourcesCoverage, adoption Skills: Development with new technologiesUsage: Dealing with large, distributed dataLinked data for interpretation Change with respect to usual dataLinked data for enrichment management approachesLinked data for re-purposing Moving away from traditionalLinked data for result publication cataloguing approaches
  10. 10. Collecting and cataloguing data http://data.linkededucation.org/linkedup/catalog/
  11. 11. Architecture
  12. 12. Process
  13. 13. CKAN-based catalogue http://datahub.io/group/linked-education
  14. 14. Data browsing interface http://data.linkededucation.org/linkedup/catalog/
  15. 15. SPARQL endpoint http://data.linkededucation.org/linkedup/catalog/sparql
  16. 16. Vocabularies in the datasets
  17. 17. Types in the datasets
  18. 18. Lightweight-Global integrationSimple manual mapping of the types (classes) in the datasets to a set of selected vocabularies
  19. 19. Supporting development http://data.linkededucation.org/linkedup/devtalk/
  20. 20. Education/training eventsLAK 2013 tutorialUsing Linked Data in Learning AnalyticsWWW 2013 tutorialOpen learning and linked dataRio de Janeiro, 14th May 2013SSSW 2013 (http://sss.org/2013)Summer School on Ontology Engineering and the Semantic WebCercedilla (near Madrid), Spain7-13 July 2013Deadline to apply: 12th April 2013
  21. 21. And of course, the Challenge! http://linkedup-challenge.org
  22. 22. Take home message Linked Data is essential to Learning Analytics: provides a flexible, reusable source of information for all the steps of the analytics process Still some efforts to make for a complete understanding by the Learning Analytics community of the benefits of adopting (and learning) linked data But, through various channels, will soon become standard practice 10. April 201323
  1. A particular slide catching your eye?

    Clipping is a handy way to collect important slides you want to go back to later.

×