Philip Dudchuk (RIA Novosti) News the new way - Semantic Publishing platform
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This document discusses how RIA Novosti, a Russian news agency founded in WWII, evolved its use of semantic metadata to power its publishing processes and products. It highlights three key impacts: 1) Broadcasting news filtered by semantic metadata queries. 2) Websites adapting content based on user location/interests identified by metadata. 3) Non-traditional analytics and aggregations by combining news metadata with external data. The document provides examples including filtering forest fire reports by location and measuring country image reactions to events.
Philip Dudchuk (RIA Novosti) News the new way - Semantic Publishing platform
- 1. News the New Way Semantics in the Drivers Seat
- 2. Philip Dudchuk Head of Semantic Production Department, RIA Novosti
- 3. 1941 Founded in the beginning of the WW2, RIA Novosti was initially a news agency reporting on the situation at the war front
- 4. First news websites looked like simple news feeds
- 5. Metadata rules the world of news News metadata gets right content to right departments of the customer Metadata locates the reported events Metadata enables vertical products focused on selected areas (banking, automotive, government)
- 6. Boom of platforms in late 2000s
- 7. 2011: Need in a common Semantic Publishing Platform Build and manage a common news ontology and vocabularies for all products and news websites Generate metadata for both news items and articles on websites Aggregate content and metadata for further use in end- user applications (websites and mobile apps)
- 8. Evolution of the Publishing Process
- 10. Impact 1: Broadcasting News with Semantic Metadata Filtering news content by triple queries at the customers end (via API): content about any oil & gas company content about any employee of any public body in a given region of Russia 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)
- 11. Impact 2: Adaptive Content of Websites My ria.ru Locating the user and filtering the content by region Gathering user interests and filtering content by entities and topics
- 12. Impact 3: Non-traditional Aggregations and Analytics Putting together news metadata with external content summer forest fires juvenile delinquency in towns and regions election fraud cases
- 13. 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
- 14. A case study: country image analysis
- 15. Country image analysis Searching news content related to Russia across more than 3,000 foreign sources Processing search results, tagging and aggregating content with its metadata Producing statistics about reaction on subjects connected to Russia (events, people, organizations)
- 16. Negativity Index Tymoshenkos case in Ukraine, threat to boycott Euro 2012 Pussy riots punks arrested Top sources with biggest number of negative publications on involvement of Russian politicians and businessmen in Yulia Tymoshenkos case
- 17. US media on Russias reaction on the events in Syria The New York Times The Financial Times The Washington Post Syrias media on the same topic