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Delivering Linked Data Training to Data Science Practitioners
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Delivering Linked Data Training to Data Science Practitioners

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  • 1. Online Learning and Linked Data – Lessons Learned and Best Practices (WWW’2014) Delivering Linked Data Training to Data Science Practitioners Marin Dimitrov (CTO)
  • 2. Contents • Ontotext’s experience with Linked Data trainings • Lessons learned • The EUCLID social media monitoring platform #2Online Learning and Linked Data – Lessons Learned and Best Practices WWW’2014 Apr 2014
  • 3. About Ontotext • Provides products & solutions for semantic metadata management – Multi-lingual text analytics – Semantic search – Linked Data management • Major clients and industries – Media & Publishing – Health Care & Life Sciences – Cultural Heritage – Government – Recruitment #3Online Learning and Linked Data – Lessons Learned and Best Practices WWW’2014 Apr 2014
  • 4. The Need for Linked Data Training • We realised that “educating the market” was a required prerequisite for selling the technology – 2009: started with product specific training modules – 2011: training also covers general Linked Data / Semantic Web topics • Current training curriculum – Product specific training – Introduction to Semantic Web – RDF/S, OWL, ontologies, inference – SPARQL & RDF databases – Linked Data & applications #4Online Learning and Linked Data – Lessons Learned and Best Practices WWW’2014 Apr 2014
  • 5. Linked Data Training for Data Science Practitioners • Big organisations / enterprises – BBC – British Museum – UK parliament – One of the world’s leading financial news organisations – One of the leading monthly magazines focussed on business & finance – A global academic publishing company – One of the biggest & most visited museums in the US #5Online Learning and Linked Data – Lessons Learned and Best Practices WWW’2014 Apr 2014
  • 6. Linked Data Training for Data Science Practitioners • Conferences & events – NYC, San Francisco, London, Stavanger • On-premise & online training #6Online Learning and Linked Data – Lessons Learned and Best Practices WWW’2014 Apr 2014
  • 7. Lessons Learned • #1 Be prepared for a mixed audience – Often a mix between managers, developers & DBAs – A mix between groups with different prior expertise – Not easy to tailor the message to the audience needs • #2 Speak the language of the audience – Comparison with relational databases / SQL – Linked Data applications & APIs for developers – Success stories for managers #7Online Learning and Linked Data – Lessons Learned and Best Practices WWW’2014 Apr 2014
  • 8. Lessons Learned • #3 Strike the right balance between too much & too little theory – Proper theoretical foundations are important – … but difficult to plan in advance – Adjust the training content on the fly • #4 Success stories & reference architectures are important – Focus on how and why Linked Data is used in various domains, not only on what it is – Understanding of the business domain is important – Organisations want to replicate BBC’s initial with Linked Data applied in production #8Online Learning and Linked Data – Lessons Learned and Best Practices WWW’2014 Apr 2014
  • 9. Lessons Learned • #5 Engage the customer pre- and post-training – Pre-training: Helps to understand better the audience of the training – Pre-training: customers can prepare better - background reading, questions, etc. – Post-training: clarifications, Q&A sessions, further reading • #6 Record the trainings / webinars • #7 Bottom-up approach is needed sometimes – Q&A sessions / open discussion, instead of pre-planned course – More of a consulting session than a standard training #9Online Learning and Linked Data – Lessons Learned and Best Practices WWW’2014 Apr 2014
  • 10. EUCLID SOCIAL MEDIA MONITORING PLATFORM #10Online Learning and Linked Data – Lessons Learned and Best Practices WWW’2014 Apr 2014
  • 11. EUCLID Social Media Monitoring Platform • Goals – Identify “hot topics” related to Linked Data & Semantic Web – Provide topics for extending & refining the existing EUCLID Linked Data curriculum • Approach – Monitor Twitter, selected W3C mail lists, LinkedIn discussion groups, SlideShare uploads – Integrate & RDF-ize the data coming from various channels – Automatically extract topics & named entities (text analytics) – Visual analytics on top of the integrated data #11Online Learning and Linked Data – Lessons Learned and Best Practices WWW’2014 Apr 2014
  • 12. EUCLID Social Media Monitoring Platform • Knowledge base – FreeBase + GeoNames – Semantic Web conferences metadata – Dublin Core, FOAF, SCIOC, SKOS topics – Manually refined set of Top200 influencers in the Linked Data / Semantic Web community • Text mining, entity resolution & interlinking • Data visualisation #12Online Learning and Linked Data – Lessons Learned and Best Practices WWW’2014 Apr 2014
  • 13. EUCLID Social Media Monitoring Platform #13Online Learning and Linked Data – Lessons Learned and Best Practices WWW’2014 Apr 2014
  • 14. EUCLID Social Media Monitoring Platform #14Online Learning and Linked Data – Lessons Learned and Best Practices WWW’2014 Apr 2014
  • 15. THANK YOU! #15Online Learning and Linked Data – Lessons Learned and Best Practices WWW’2014 Apr 2014