1.Developing Rich Interactive eBooks to Teach Linked Open Data to Professionals: Principles and Processes John Domingue, Knowledge Media Institute, The Open University STI International St Petersburg, March 10, 2014 11/03/2014 1

2. Overview Motivation Design and delivery principles Channels Process Results Monitoring Future Work Summary 11.03.2014 2 3. Motivation (1/3) 11.03.2014 3 3 4. Motivation (2/3) 11.03.2014 4 http://www.mckinsey.com/mgi/publications/big_data/index.asp 5. Motivation (3/3) Percentage increase in staff over next 2 years Approach taken to increasing staff Big Data Analytics talent gap staff survey 6. PRINCIPLES 11.03.2014 6 7. 11.03.2014 7 8. Right Topic? 11.03.2014 8 9. Design Principles Industrial relevance Team curriculum design External collaboration Explicit learning goals Use of realistic solutions Use of real data Use of real tools Show scalable solutions Eating our own dog food 11.03.2014 9 10. Delivery Principles Multiple Channels Open to format Addressability Integrated High quality Self-testing and reflection 11.03.2014 10 11. CHANNELS 11.03.2014 11 12. OU iTunes U Stats Open University on iTunes U was launched on 3rd June 2008 Now 58 iTunes U Courses 65,138,000 downloads Over 9,015,700 visitors downloaded files Currently averaging 80,000-300,000 downloads a week 449 collections containing 3,485 tracks (1,638 audio, 1,847 video) and 27 extras (PDF) 423 OpenLearn study units as eBooks (ePub), representing over 5,000 hours of study Currently delivering an average of 0.3-1 TB of data a week 13. ESWC Summer School 11.03.2014 14 14. PROCESS 11.03.2014 15 15. Expert Opinion Gathering 11.03.2014 16 Data science curriculum session 16. Process Model Collection of Raw Chapter Materials Learning Objectives Slides First Version Webinar First Recording Slides Final Version Webinar Final Recording Initial Version of eBook Chapter Pre-final Version of eBook Chapter Final eBook Chapter and online course 17. RESULTS 11.03.2014 18 18. Modules 11.03.2014 19 Introduction and application scenarios Querying Linked Data Provisioning Linked Data Interaction with Linked Data Building Linked Data applications Scaling up 19. Module Formats 11.03.2014 20 20. 11.03.2014 21 21. 11.03.2014 22 22. 11.03.2014 23 23. 11.03.2014 24 24. 11.03.2014 25 25. 11.03.2014 26 26. iTunes U Course 11.03.2014 27 27. MONITORING 11.03.2014 28 28. Dataflow 29. Data Harvesting Twitter keywords-based search & monitoring LinkedIn groups Linked Data Web, Semantic Web, Ontologies, OWL-S, SPARQL interest group, Semantic Technologies Group, Semantic Technologies, OWL/RDF W3C mailing lists SemanticWeb, LOD, Government Linked Data, Public-idp, Public-ldp-wg, LifeScience, RDF Stream processing, Semantic Open Data, Semantic Web Activity SlideShare - not monitored yet (RSS feed is useless) #30Social Media Monitoring Platform v.2 Dec 2013 30. Monitoring Numbers 185,000 tweets 773 linkedIn posts 898 messages from the W3 mail lists 11.03.2014 31 31. Monitoring Forums (1/2) 11.03.2014 32 32. Monitoring Forums (2/2) 11.03.2014 33 33. Monitoring Topics (1/2) 11.03.2014 34 34. Monitoring Topics (2/2) 11.03.2014 35 35. Monitoring People 11.03.2014 36 36. FUTURE WORK 11.03.2014 37 37. www.ict-forge.eu @ICT_FORGE FORGE is bringing the FIRE and eLearning worlds together FIRE (Future Internet Research and Experimentation) high-performance test-beds Forging Online Education through FIRE 38. 39 39. 11.03.2014 40 40. 11.03.2014 41 41. Summary Need to fill skilled data scientists gap Successful development and deployment of open educational resources Multi-skilled course team Strong links to industrial requirements Rich multimedia interactive eBooks Explicit learning goals Real data and tools Multi channel delivery Linked data based monitoring Future work to deploy in new contexts EU job skills dashboard 11.03.2014 42 42. The team Thanks to all contributors! Alexander Mikroyannidis, OU Alice Carpentier, STI-R Andreas Harth, KIT Andreas Wagner, KIT Andriy Nikolov, fluidOps Barry Norton, Ontotext Alex Simov, Ontotext Marin Dimitrov, Ontotext Daniel M. Herzig, KIT Elena Simperl, STI-R/Univ. of Southampton Gnter Ladwig, KIT Inga Shamkhalov, KIT Jacek Kopecky, OU John Domingue, OU Juan Sequeda, Capsenta/University of Texa Kalina Bontcheva, University of Sheffield Lyndon Nixon, STI-R Maria Maleshkova, KIT Maria-Esther Vidal, Univers. Simon Bolivar Maribel Acosta, KIT Michael Meier, fluidOps Ning Li, OU Paul Mulholland, OU Peter Haase, fluidOps Richard Power, OU Steffen Stadtmller, KIT 11.03.2014 43 43. 44 @euclid_project euclidproject euclidproject http://www.euclid-project.eu Other channels eBook Course