Adaptive Semantic Publishing

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Ontotext's Adaptive Semantic Publishing platform / WaSABi workshop @ ISWC'2013 Sydney

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Adaptive Semantic Publishing

  1. 1. Adaptive Semantic Publishing Georgi Georgiev, Borislav Popov, Petya Osenova & Marin Dimitrov WaSABi’2013
  2. 2. Contents • Adaptive Semantic Publishing • Software and Information Architecture • Semantic Annotation Process • Personalised Content Delivery Adaptive Semantic Publishing (WaSABi’2013) Oct 2013 #2
  3. 3. Adaptive Semantic Publishing • High-quality content – Recommened related materials – Improved reuse • Dynamic products – Semantic enrichment – Metadata-driven web content – Dynamic re-purposing • Personalised content delivery – Adaptive content streams – Highly relevant information Adaptive Semantic Publishing (WaSABi’2013) Oct 2013 #3
  4. 4. Success Stories • BBC Sports (UK) – 2010 World Cup & 2012 Olympics • Press Association (UK) – Semantic enrichment of assets • EuroMoney (UK) – Finance & economics • NDP (NL) – Semantic publishing, 3rd party apps • Publicis (DE) – Content recommendation Adaptive Semantic Publishing (WaSABi’2013) Oct 2013 #4
  5. 5. BBC’s Dynamic Semantic Publishing Adaptive Semantic Publishing (WaSABi’2013) Oct 2013 #5
  6. 6. Adaptive Semantic Publishing for NDP XML Content Store Adaptive Semantic Publishing (WaSABi’2013) Oct 2013 #6
  7. 7. Generalised Semantic Publishing Architecture Adaptive Semantic Publishing (WaSABi’2013) Oct 2013 #7
  8. 8. Information Architecture • Subset of LOD – – – – Dbpedia & Freebase – persons & organisations Geonames – important locations Tailored for the specific use case needs 2.5M+ entities • LOD ontologies mapped through PROTON – Upper-level ontology; 250 classes & 100 properties – Unified ontology interface • Domain specific ontologies Adaptive Semantic Publishing (WaSABi’2013) Oct 2013 #8
  9. 9. Annotation Guidelines & Corpus Creation • Functional requirements – Informal discussion with customer’s domain experts – Sample documents <> sample (manual) annotations – Agreement on annotation types • Annotation guidelines – Rules, examples, ambiguous cases, quality checks for annotators • Manual annotation – Based on the annotation guidelines – Multiple annotators + super-annotator • Initial corpus for evaluation Adaptive Semantic Publishing (WaSABi’2013) Oct 2013 #9
  10. 10. Iterative Improvement of the Semantic Annotation Adaptive Semantic Publishing (WaSABi’2013) Oct 2013 #10
  11. 11. Curation • Instance disambiguation – “Washington” >> Politician, US State, US City, … • Tagging – Verify automated annotations – Fix mis-tagged entities if necesary • Topic / keyword correction Adaptive Semantic Publishing (WaSABi’2013) Oct 2013 #11
  12. 12. Curation Adaptive Semantic Publishing (WaSABi’2013) Oct 2013 #12
  13. 13. Sample Evaluation Corpus • 250 documents, 4.5K average document size • 6,000+ manually annotated entities • 2.35 candidates for disambiguation per entity – … but up to 100 candidates in some cases! • F1 (Org) = 0.82; F1 (Per) = 0.90; F1 (Loc) = 0.92 Adaptive Semantic Publishing (WaSABi’2013) Oct 2013 #13
  14. 14. Personalised Content Delivery Adaptive Semantic Publishing (WaSABi’2013) Oct 2013 #14
  15. 15. Personalised Content Delivery Adaptive Semantic Publishing (WaSABi’2013) Oct 2013 #15
  16. 16. Personalised Content Delivery Adaptive Semantic Publishing (WaSABi’2013) Oct 2013 #16
  17. 17. Q&A Thank you! Adaptive Semantic Publishing (WaSABi’2013) Oct 2013 #17
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