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Smart Content - FREME Project - Presentation Frankfurt Book Fair
- 1. SMART & STANDARDS BASED DIGITAL CONTENT SOLUTIONS WITH FREME
- 2. Visit Us! Hall 4.0 / J14 For Updates Follow @H2020_FREME FRANK KEVIN FELIX
- 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)
- 5. PREDICT WHAT TO PUBLISH NEXT
- 6. TALK TO US HALL 4.0 / J14 & WIN AN IPAD MINI
- 7. 2 year Innovation Action Feb 2015 – Feb 2017
- 9. 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
- 10. 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
- 11. Ease of use Standard formats Well documented
- 13. FREME E-SERVICES Recognise, link and classify entities in multilingual text
- 14. 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
- 15. FREME BUSINESS CASES Industry partners leading four business cases around digital content and (linked) data
- 16. Multilingual enrichment through Machine Translation Semantic enrichment using Linked Data Enrichment services
- 17. • Machine translation • Patented technology • Domain focused translation • Training data required Multilingual Enrichment
- 18. • 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
- 20. Linked Data: interconnecting datasets
- 21. Linked Data: LOD Cloud
- 22. • 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
- 23. Semantic Book
- 24. Semantic Book / Smart Index
- 25. • 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
- 26. Demo
- 27. • 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
- 29. PREDICT WHAT TO PUBLISH NEXT
- 30. 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)
- 31. CONTENT CREATION WHAT SHOULD I PUBLISH NEXT? VS.
- 32. INFORMED PROCESS FOR TOPIC TREND DETECTION INTERNAL SOURCES EXTERNAL SOURCES TOPIC DETECTION TOPIC CLUSTERING PREDICTIVE MODELING
- 33. INTERNAL SOURCES
- 34. EXTERNAL SOURCES
- 35. THE COGNITIVE STUFF -> Clustering Dublin | Fine Art Dingle| Hiking Dublin | Pubs Galway| Oysters Jameson| Distillery Temple Bar| Music Guinness| Visiting Centre
- 36. MORE COGNITIVE STUFF -> Prediction Irland | Austern
- 37. WHAT TO PUBLISH NEXT Target Audience: German Tourist Interest: Traveling to Ireland Non Fiction Topic: Oyster Restaurants and Farms in Ireland
- 38. SMART CONTENT DELIVERY AUDIENCE SEGMENTATION (Who) CHANNEL, DEVICE AND TIMING (Where and When) INCREASED CONTENT ENGAGEMENT (Why)
- 39. 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)
- 40. TALK TO US HALL 4.0 / J14 & WIN A IPAD MINI
- 41. 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!
Editor's Notes
- we have used the CKEditor plugin in the case of GWPP. GWPP (Global Water Pathogen Project) is an online resource/book, that is authored by a worldwide community of ~160 researchers on water sanitation. The authoring process happens online with the usage of CKEditor and numerous libraries for content publishing and enrichment. Authors also engage in crowdsourcing of an online glossary of terms that are used in the online book (1.png). We used the FREME CKEditor plugin to annotate terms of the GWPP glossary within the text of our first published chapters (2.png). The plugin shows up as a simple button on top of the chapter text and provides simple options for users to enrich their material (3.jpg, 4.png). After the process, chapters are annotated with linked terms. Users can hover their mouse over these terms and view their definitions (5.png) or click on them and visit their full description page. The same material is also published in EPUB format (generated by FREME again), with the same hover-behavior on terms (6.png).
- Looks at the outside market Jenny builds these clusters over a few weeks and can start to see trends in the topic clusters which help her predict what user clusters are tending towards what topics. She can now start studying overlapping topics and see how some topics are more effective and some not.
- Looks at the outside market Jenny builds these clusters over a few weeks and can start to see trends in the topic clusters which help her predict what user clusters are tending towards what topics. She can now start studying overlapping topics and see how some topics are more effective and some not.
- Looks at the outside market Jenny builds these clusters over a few weeks and can start to see trends in the topic clusters which help her predict what user clusters are tending towards what topics. She can now start studying overlapping topics and see how some topics are more effective and some not.
- Looks at the outside market Jenny builds these clusters over a few weeks and can start to see trends in the topic clusters which help her predict what user clusters are tending towards what topics. She can now start studying overlapping topics and see how some topics are more effective and some not.
- Looks at the outside market Jenny builds these clusters over a few weeks and can start to see trends in the topic clusters which help her predict what user clusters are tending towards what topics. She can now start studying overlapping topics and see how some topics are more effective and some not.