RIAN - News the New Way (powered by Ontos)
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RIA Novosti, a Russian news agency founded in 1941, developed a semantic publishing platform to generate metadata for every news item and article. This allows content to be filtered and blended for different applications and customers. The platform uses an ontology and triple store to relate entities, events, and topics across content. This enables new types of analytics and adaptive websites that personalize based on user location and interests.
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RIAN - News the New Way (powered by Ontos)
- 1. News the New Way Semantics in the Driverβs Seat Philip Dudchuk & Daniel Hladky SemTechBiz, San Francisco, June 5, 2012
- 2. Philip Dudchuk Head of Semantic Platform, RIA Novosti Daniel Hladky Deputy Director, W3C Russia Member of the Board, Ontos AG Philip Dudchuk & Daniel Hladky SemTechBiz, San Francisco, June 5, 2012
- 3. 1941 Founded in the beginning of the WW2, RIA Novosti was initially a news agency reporting on the situation at the war front Philip Dudchuk & Daniel Hladky SemTechBiz, San Francisco, June 5, 2012
- 4. First news websites looked like simple feeds Philip Dudchuk & Daniel Hladky SemTechBiz, San Francisco, June 5, 2012
- 5. Boom of platforms in late 2000s Philip Dudchuk & Daniel Hladky SemTechBiz, San Francisco, June 5, 2012
- 6. Metadata rules the world of news β’ News metadata gets right content to right departments of the customer (big media) β’ Metadata locates reported events (local newspapers) β’ Metadata enables vertical products focused on selected areas (banking, automotive, government) Philip Dudchuk & Daniel Hladky SemTechBiz, San Francisco, June 5, 2012
- 7. Distinct metadata sets Philip Dudchuk & Daniel Hladky SemTechBiz, San Francisco, June 5, 2012
- 8. 2011: Need in a common Semantic Publishing Platform β’ Build and manage a common news ontology and vocabularies for all products and news websites β’ Generate metadata for every news item and every website article β’ Aggregate content and metadata for further use in end- user applications (websites and mobile apps) Philip Dudchuk & Daniel Hladky SemTechBiz, San Francisco, June 5, 2012
- 9. Evolution of the Publishing Cycle Philip Dudchuk & Daniel Hladky SemTechBiz, San Francisco, June 5, 2012
- 10. The Ontology Philip Dudchuk & Daniel Hladky SemTechBiz, San Francisco, June 5, 2012
- 11. Managing the Triple Store Triple Store updates β’ Editorial meetings β’ Statistics about βheuristicβ entities β’ Adding an entity directly from CMS Linguistic Information in the Triple Store β’ Lookups for entities β’ Morphology β’ Disambiguation rules & attributes Philip Dudchuk & Daniel Hladky SemTechBiz, San Francisco, June 5, 2012
- 12. Impacts Philip Dudchuk & Daniel Hladky SemTechBiz, San Francisco, June 5, 2012
- 13. Impact 1: Broadcasting News with Semantic Metadata Filtering news content by triple queries at the customerβs end (via API): β’ content about any oil & gas company β’ content about any employee of any public body in a given region of Russia β’ content about any event going to happen in my city Common metadata for newswire and web content allow to blend free and paid content into new products (news archive) Philip Dudchuk & Daniel Hladky SemTechBiz, San Francisco, June 5, 2012
- 14. Impact 2: Adaptive Content of Websites My ria.ru β’ Locating the user and filtering the content by region β’ Gathering user interests and filtering content by entities and topics Philip Dudchuk & Daniel Hladky SemTechBiz, San Francisco, June 5, 2012
- 15. Impact 3: Non-traditional Aggregations and Analytics Putting together news metadata with external content β’ summer forest fires β’ juvenile delinquency in towns and regions β’ election fraud cases Philip Dudchuk & Daniel Hladky SemTechBiz, San Francisco, June 5, 2012
- 16. 3 21 4 10 10 2 11 3 1 12 16 3 9 1 14 11 2 1 2 12 17 1 5 Combination of crowd-sourced geo data about forest fires and local reports by RIA Novosti Philip Dudchuk & Daniel Hladky SemTechBiz, San Francisco, June 5, 2012
- 17. A case study: country image analysis Philip Dudchuk & Daniel Hladky SemTechBiz, San Francisco, June 5, 2012
- 18. Country image analysis β’ Searching news content related to Russia across more than 3,000 foreign sources β’ Processing search results, tagging and aggregating content with its metadata β’ Producing statistics about reaction on subjects connected to Russia (events, people, organizations) Philip Dudchuk & Daniel Hladky SemTechBiz, San Francisco, June 5, 2012
- 19. Negativity Index Tymoshenkoβs case in Ukraine, threat to boycott Euro 2012 βPussy riotsβ punks arrested Top sources with biggest number of negative publications on involvement of Russian politicians and businessmen in Yulia Tymoshenkoβs case Philip Dudchuk & Daniel Hladky SemTechBiz, San Francisco, June 5, 2012
- 20. US media on Russiaβs reaction on the events in Syria The New York Times The Financial Times The Washington Post Syriaβs media on the same topic Philip Dudchuk & Daniel Hladky SemTechBiz, San Francisco, June 5, 2012
- 21. Further Challenges β’ Semantic metadata for pictures and video (image recognition) β’ Processing the content from social media to create adaptive social applications β’ Adding voice recognition to semantic platform and create new products and services incorporating video with relevant articles and pictures Philip Dudchuk & Daniel Hladky SemTechBiz, San Francisco, June 5, 2012
- 22. THANK YOU! Philip Dudchuk & Daniel Hladky SemTechBiz, San Francisco, June 5, 2012