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Advanced methods andtools for Web-BasededucationTechnologies for Structuring, Analyzing, Modelling, PersonalisationOCWC Gl...
Organiser and Sponsors• Knowledge 4 All Foundation, London (http://www.k4all.org/)• FP7 project Translectures (http://www....
Agenda• Brief introduction to the workshop (Mitja Jermol, K4A, JSI) (15’)• Introducing K4A (Colin de La Higuera, K4A, Nant...
MultimodalandmultilingualcontentstructuringLearninganalytics anduser modellingPersonalisation,recommendation
TechnologiesGraph/Social Network Analysis(GraphGarden/SNAP, IST-World,FPIntelligence)Complex Data Visualization(DocAtlas, ...
From libraries to courses…
From courses to lectures….
From lectures to mass education…
From mass education to massaccreditation…
Videolectures.netdevelopment
WSA UNESCO AWARD
PersonalisationModeling(Needs and preferences)Adaptation
Towards personalisation @videolectures.netEnrycher(Contextualisation ofcontent objects)QuintelligenceMiner(user modeling a...
Transcribing and TranslatingVideos
TranslecturesOur aim is to develop innovative, cost-effective solutions to produceaccurate transcriptions and translations...
ResultsFreely available tools and services for accurate transcriptions and translations:- Automatic transcription of video...
Project factsheet• Total Cost: €4,491,143.00• EC Contribution: €3,125,000.00• Execution: From: 11/2011 To: 10/201419No Nam...
Massive Adaptation22massivetrain fromlarge and diversedata collectionsadaptation target test domain
Overview About Adaptation23acoustic modeladaptationtranslation modeladaptationASR SMTlanguage modeladaptationinvestigate• ...
Languages and Training Data• ASR24Repository Language Acoustic ModelTraining HoursLanguage ModelRunning Wordsvideolectures...
Language Pairs and Training Data• SMT25Repository Language PairBilingualSentencesMonolingualRunning WordspoliMedia Spanish...
Mixing media fragments
Media fragmentsMedia mixing is the processby which self-contained partsof media (fragments) areidentified and exposed viam...
Mediamixer (http://mediamixer.eu/)• Community set-up and networking for the reMIXing of online MEDIAfragments• to set up a...
Matterhorn (Opencast)
Matterhorn – Opencasthttp://opencast.org/matterhorn/home
Matterhorn basic facts• Opensource (http://opencast.org/matterhorn/download)• Started July 2009• Official Ver 1.3.1, March...
Adopting organisationsUniversity College CorkUniversity of Applied Sciences OsnabrückUniversity of BergenUniversity of Cal...
New and emerging models
Video journal - status• Video Journal of Machine Learning Abstracts• Volume 1, 2, 3 – now preparing Vol. 4• 146 video abst...
Live streaming via Ncast
UNESCO collaboration• VideoLectures Winner of WSA in 2009• March 2013 WSIS+10 Global Champion• VideoLectures.Net was selec...
Already taken actions towards the future• Future (not so distant)• Responsive learning environments• Learning companions• ...
Links and contactsDavor OrlicDavor.Orlic@k4all.orghttp://www.translectures.eu/ajuan@dsic.upv.esAlfons Juan-CiscarUniversit...
Cronicle.com
Intelligent tools-mitja-jermol-2013-bali-7 may2013
Intelligent tools-mitja-jermol-2013-bali-7 may2013
Intelligent tools-mitja-jermol-2013-bali-7 may2013
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Intelligent tools-mitja-jermol-2013-bali-7 may2013

  1. 1. Advanced methods andtools for Web-BasededucationTechnologies for Structuring, Analyzing, Modelling, PersonalisationOCWC Global Conference 2013Bali
  2. 2. Organiser and Sponsors• Knowledge 4 All Foundation, London (http://www.k4all.org/)• FP7 project Translectures (http://www.translectures.eu/)• FP7 project MediaMixer (http://mediamixer.eu/)• FP7 project X-Like (http://www.xlike.org/)• FP7 project Pascal2 (http://pascallin2.ecs.soton.ac.uk/)
  3. 3. Agenda• Brief introduction to the workshop (Mitja Jermol, K4A, JSI) (15’)• Introducing K4A (Colin de La Higuera, K4A, Nantes) (15’)• Some challenges in using Machine Learning in OER (Colin de La Higuera, K4A,Nantes) (15’)• Break• Technologies and solutions for content structuring (Marko Grobelnik, K4A, JSI)(45’)• Technologies and solutions for user modelling and analytics (Marko Grobelnik,K4A, JSI) (30’)• Break• Technologies, solutions and prospects of OER in the Videolectures.net case (MitjaJermol, K4A, JSI) (45’)• Wrap up and discussion (20’)
  4. 4. MultimodalandmultilingualcontentstructuringLearninganalytics anduser modellingPersonalisation,recommendation
  5. 5. TechnologiesGraph/Social Network Analysis(GraphGarden/SNAP, IST-World,FPIntelligence)Complex Data Visualization(DocAtlas, NewsExplorer, SearchPoint)Computational Linguistics(Enrycher, AnswerArt)Social Computing/Web2.0 (LiveNetLife)Decision Support (DEX)Light-Weight Semantic Technologies(OntoGen, OntoBridge)Deep Semantics & Reasoning (Cyc)Statistical Machine LearningData/Web/Text/Stream-Mining(TextGarden Suite of tools)
  6. 6. From libraries to courses…
  7. 7. From courses to lectures….
  8. 8. From lectures to mass education…
  9. 9. From mass education to massaccreditation…
  10. 10. Videolectures.netdevelopment
  11. 11. WSA UNESCO AWARD
  12. 12. PersonalisationModeling(Needs and preferences)Adaptation
  13. 13. Towards personalisation @videolectures.netEnrycher(Contextualisation ofcontent objects)QuintelligenceMiner(user modeling andsegmentation)Recommender(Content/user matching)Content/learningobjectUserbehaviorTEL environment(videolectures.net)
  14. 14. Transcribing and TranslatingVideos
  15. 15. TranslecturesOur aim is to develop innovative, cost-effective solutions to produceaccurate transcriptions and translations in VideoLectures, withgenerality across other Matterhorn-related repositories.Three scientific and technological objectives:• Improvement of transcription and translation quality by massiveadaptation.• Improvement of transcription and translation quality by intelligentinteraction.• Integration into Matterhorn to enable real-life evaluation.4 June 2013 17
  16. 16. ResultsFreely available tools and services for accurate transcriptions and translations:- Automatic transcription of videos: English, Slovenian, German, French, Spanish- Automated translation of videos: en⇆es, en⇆sl, en fr and en de.Initial implementation:- Videolectures- poliMedia- Matterhorn18
  17. 17. Project factsheet• Total Cost: €4,491,143.00• EC Contribution: €3,125,000.00• Execution: From: 11/2011 To: 10/201419No Name ShortnameCountry ExitMonthExitmonth1 UNIVERSITAT POLITECNICA DE VALENCIA UPV Spain 1 362 XEROX SAS XEROX France 1 363 INSTITUT JOZEF STEFAN JSI Slovenia 1 363+ KNOWLEDGE FOR ALL FOUNDATION K4A UK 1 364 RHEINISCH-WESTFAELISCHETECHNISCHE HOCHSCHULE AACHENRWTH Germany 1 365 EUROPEAN MEDIA LABORATORY GMBH EML Germany 1 366 Deluxe Digital Studios Ltd DDS UK 1 36
  18. 18. Massive Adaptation22massivetrain fromlarge and diversedata collectionsadaptation target test domain
  19. 19. Overview About Adaptation23acoustic modeladaptationtranslation modeladaptationASR SMTlanguage modeladaptationinvestigate• conditions• models• adaptation techniques(time-aligned slides)decide
  20. 20. Languages and Training Data• ASR24Repository Language Acoustic ModelTraining HoursLanguage ModelRunning Wordsvideolectures.netEnglish 768 4657 millionSlovenian 27 75 millionpoliMedia Spanish 390 1609 million
  21. 21. Language Pairs and Training Data• SMT25Repository Language PairBilingualSentencesMonolingualRunning WordspoliMedia Spanish to English 12.9 million 57 millionvideolectures.netEnglish to Spanish 12.9 million 34 millionEnglish to Slovenian 4.7 million 378 millionEnglish to French 4.0 million 119 millionEnglish to German 2.2 million 621 millionSlovenian to English 1.1 million 57 million
  22. 22. Mixing media fragments
  23. 23. Media fragmentsMedia mixing is the processby which self-contained partsof media (fragments) areidentified and exposed viamedia repository interfaces,so that consumers can accessand re-use only the partsthey are interested in.MediaMixerHubAV ContentProvider (1-n)AV ContentDemander (1-m)1) AVmaterialanalysis andannotation2) FragmentDefinition3) Rightsand CostAssignment6) Search.Browsing7) Rightsand CostAssessment8) Download4) FragmentUpload5) Clearing(Sell)9) Compositionof new AVmaterials10) Clearing(Buy)annotated &linked MediaFragments
  24. 24. Mediamixer (http://mediamixer.eu/)• Community set-up and networking for the reMIXing of online MEDIAfragments• to set up and sustain a community of video producers, hosters, andredistributors who will be supported in the adoption of semanticmultimedia technology in their systems and workflows to build aEuropean market for media fragment re-purposing and re-selling.• http://community.mediamixer.eu/
  25. 25. Matterhorn (Opencast)
  26. 26. Matterhorn – Opencasthttp://opencast.org/matterhorn/home
  27. 27. Matterhorn basic facts• Opensource (http://opencast.org/matterhorn/download)• Started July 2009• Official Ver 1.3.1, March 2012, Ver 1.4 in testing• Starting 2Y funds by:• The Andrew W. Mellon: 1M US• The William and Flora Hewlett foundations: 0.5 US• Now supported by institutions itself
  28. 28. Adopting organisationsUniversity College CorkUniversity of Applied Sciences OsnabrückUniversity of BergenUniversity of California BerkeleyUniversity of California DavisUniversity of Cape TownUniversity of HelsinkiUniversity of ManchesterUniversity of Nebraska-LincolnUniversity of New MexicoUniversity of OsnabrueckUniversity of SaskatchewanUniversity Of The Arts LondonUniversity of VigoVienna University of TechnologyVisionaire CampusUniversidad Carlos III de MadridUniversidad Distrital Francisco Jose de CaldasBen - Gurion UniversityBoise State UniversityEntwineETH ZurichGhent universityLoughborough UniversityNorth-West UniversityNorthwestern UniversityOBIS/Oxford Brookes University, Oxford UKPolytechnical University of Valencia (UPV)Reformed Theological SeminaryRice UniversityRochester Institute of TechnologyRRZE Uni-ErlangenTel Aviv UniversityTeltek Video ResearchThe Institute for Global Outreach Developments InternationalUNINETT AS
  29. 29. New and emerging models
  30. 30. Video journal - status• Video Journal of Machine Learning Abstracts• Volume 1, 2, 3 – now preparing Vol. 4• 146 video abstracts, 15k views• Building up review committes• PlanetData NoE - Video Journal of Semantic Data Management Abstracts• Volume 1, now preparing Vol.2 Feedback from the community Have separate tracks Have different selection criteria (no need to check sound, etc). Allow submissions of more multimedia-like presentations
  31. 31. Live streaming via Ncast
  32. 32. UNESCO collaboration• VideoLectures Winner of WSA in 2009• March 2013 WSIS+10 Global Champion• VideoLectures.Net was selected as the winner in the “e- Science & Technology” category• 2 directors attended the Gala ceremony• meeting with Mr Qian Tang, Assistant Director-General for Education, UNESCO anddiscussed:• Boost-up education in UNESCO member states• Provide a hub for MA, MSc, PhD video content exchange• Bring the latest research and development in Africa and globally to institutions in Africa• Potential to improve and facilitate mobile learning• Creation of AI training/research in developing countrires• Visit of UNESCO director-general Irina Bokova in Ljubljana 9.4.2013
  33. 33. Already taken actions towards the future• Future (not so distant)• Responsive learning environments• Learning companions• New academia/research• Speaker modelling
  34. 34. Links and contactsDavor OrlicDavor.Orlic@k4all.orghttp://www.translectures.eu/ajuan@dsic.upv.esAlfons Juan-CiscarUniversitat Politècnica de València (DSIC)http://www.xlike.org/ Marko GrobelnikJozef Stefan Institutemarko.grobelnik@ijs.sihttp://www.k4all.org/http://mediamixer.eu/ Lyndon NixonSTI - Internationallyndon.nixon@sti2.org
  35. 35. Cronicle.com

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