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Smart Content - FREME Project - Presentation Frankfurt Book Fair

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Frankfurt Book Fair - Smart Content Analytics with the FREME Project

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Smart Content - FREME Project - Presentation Frankfurt Book Fair

  1. 1. SMART & STANDARDS BASED DIGITAL CONTENT SOLUTIONS WITH FREME
  2. 2. Visit Us! Hall 4.0 / J14 For Updates Follow @H2020_FREME FRANK KEVIN FELIX
  3. 3. DEMOS EVERY DAY @Hall 4.0 / J14 Semantic Book 19/10 15:00 20/10 16:00 21/10 11:30 CKEditor 19/10 10:30 20/10 11:30 21/10 16:00 Content Personalization & Predictive Analytics 19/10 12:30 20/10 15:00 21/10 14:00 FREME framework 19/10 16:00 20/10 14:00 21/10 10:30)
  4. 4. PREDICT WHAT TO PUBLISH NEXT
  5. 5. TALK TO US HALL 4.0 / J14 & WIN AN IPAD MINI
  6. 6. 2 year Innovation Action Feb 2015 – Feb 2017
  7. 7. Freme consortiumPROJECT PARTNERS
  8. 8. CHALLENGE AND OPPORTUNITY Big Data is growing across Languages, Sectors and Domains Machine translation, terminology annotation, ... Linked data creation & processing GAPS THAT HINDER BUSINESS Plethora of formats, Adaptability and platform dependency, Language coverage, and Usability
  9. 9. CHALLENGE AND OPPORTUNITY Big Data is growing across Languages, Sectors and Domains Machine translation, terminology annotation, ... Linked data creation & processing SET OF GRAPHICAL AND SOFTWARE INTERFACES DESIGN DRIVEN BY BUSINESS CASES
  10. 10. Ease of use Standard formats Well documented
  11. 11. FREME E-SERVICES Recognise, link and classify entities in multilingual text
  12. 12. PUTTING STANDARDS* INTO ACTION ITS 2.0 Metadata to integrate automated processing of human language into core Web technologies NIF 2.0 Format to achieve interoperability between NLP tools, language resources and annotations OntoLex / Lemon Model to publish lexica or terminological data on the web as linked data Standards deployed in FREME Formats for FREME Enrichment • HTML5 • General XML • Selected XML Vocabularies  DocBook, TEI, XLIFF, ODF, … • Linked Data as turtle, json-ld etc • More to come – depending on your needs!  Processing of a growing set of formats via the Okapi framework  Roundtripping – storing enrichment in the original content * Including formal standards and de-facto standards
  13. 13. FREME BUSINESS CASES Industry partners leading four business cases around digital content and (linked) data
  14. 14. Multilingual enrichment through Machine Translation Semantic enrichment using Linked Data Enrichment services
  15. 15. • Machine translation • Patented technology • Domain focused translation • Training data required Multilingual Enrichment
  16. 16. • Harness the power of the still largely untapped Semantic Web • Huge amount of data available on the web • But…largely untapped due to –Lack of skills –Lack of awareness –Lack of tangible use cases Semantic Enrichment
  17. 17. Linked Data: triples
  18. 18. Linked Data: interconnecting datasets
  19. 19. Linked Data: LOD Cloud
  20. 20. • Example of smart digital content • Embed semantic features in EPUB3-format e-book • Small POC developed using FREME e-services • E-book on Athens enriched with structured data from DBPedia Semantic Book
  21. 21. Semantic Book
  22. 22. Semantic Book / Smart Index
  23. 23. • CKEditor is a WYSIWYG HTML editor widely used in CMS systems (Drupal, Wordpress) • We developed a FREME plugin enabling content authors to use FREME enrichment services via the GUI • Demo version available • Practical application in book creation CKEditor plugin
  24. 24. Demo
  25. 25. • Digital book on water sanitation authored by +160 researchers • Authoring process involved annotation of terms using CKEditor with FREME plugin Use case: Global Water Pathogens Project
  26. 26. PREDICT WHAT TO PUBLISH NEXT
  27. 27. COGNITIVE CONTENT SOLUTIONS Cognitive Content: Merge Content Creation and Content Delivery Predict What to Publish, Write, Translate next in order to increase Content related KPIs -> Content Engagement Know What Audience Wants What Content (What/Where/When)
  28. 28. CONTENT CREATION WHAT SHOULD I PUBLISH NEXT? VS.
  29. 29. INFORMED PROCESS FOR TOPIC TREND DETECTION INTERNAL SOURCES EXTERNAL SOURCES TOPIC DETECTION TOPIC CLUSTERING PREDICTIVE MODELING
  30. 30. INTERNAL SOURCES
  31. 31. EXTERNAL SOURCES
  32. 32. THE COGNITIVE STUFF -> Clustering Dublin | Fine Art Dingle| Hiking Dublin | Pubs Galway| Oysters Jameson| Distillery Temple Bar| Music Guinness| Visiting Centre
  33. 33. MORE COGNITIVE STUFF -> Prediction Irland | Austern
  34. 34. WHAT TO PUBLISH NEXT Target Audience: German Tourist Interest: Traveling to Ireland Non Fiction Topic: Oyster Restaurants and Farms in Ireland
  35. 35. SMART CONTENT DELIVERY AUDIENCE SEGMENTATION (Who) CHANNEL, DEVICE AND TIMING (Where and When) INCREASED CONTENT ENGAGEMENT (Why)
  36. 36. DEMOS EVERY DAY -> Hall 4.0 / J14 Semantic Book (19/10 15:00 || 20/10 16:00 || 21/10 11:30) CKEditor (19/10 10:30 || 20/10 11:30 || 21/10 16:00) Content Personalization & Predictive Analytics (19/10 12:30 || 20/10 15:00 || 21/10 14:00) FREME framework (19/10 16:00 || 20/10 14:00 || 21/10 10:30)
  37. 37. TALK TO US HALL 4.0 / J14 & WIN A IPAD MINI
  38. 38. Frank Salliau Project Manager iMinds DSLab Email frank.salliau@ugent.be Kevin Koidl CEO/Founder Wripl Technologies E-mail: kevin@wripl.com Twitter: @koidl Thank you!

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