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Integrating DBpedia and Linked Data for Semantic Web at BBC

Learn how BBC collaborates with Freie Universität Berlin and Rattle Research to integrate data and link documents across multiple domains using DBpedia and Linked Data. Explore the objectives, cross-linking strategies, linking documents to concepts, and creating user journeys with topic pages and navigation badges.

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Integrating DBpedia and Linked Data for Semantic Web at BBC

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  1. Media Meets Semantic Web – How the BBCUses DBpedia and Linked Data to MakeConnections Georgi Kobilarov et. al. ESWC 2009

  2. BBC working to integrate data and linking documents across BBC domains • Collaboration with Freie Universität Berlin, Rattle Research (and Ontotext) • Semantic Web context: usage of Linked Data from MusicBrainz and DBpedia

  3. Problem • BBC publishes large amounts of online content text/videos/audio • Mostly data for broadcast brands and domain specific microsites • Division of its services by domain, e.g. food, music, news etc.  No interlinking between these domain specific sites – not using the full potential of available data

  4. Objectives • DBpedia to provide a common ”controlled” vocabulary and equivalency service, which in turn is used to add ”topic badges” to existing, legacy web pages • Soft transition of the old to the new system • Developing a new service that supports the branding of our Radio stations, TV channels and programmes (bbc.co.uk/programmes) • Developing a new music offering (bbc.co.uk/music/beta) that builds on existing open web standards and is fully integrated with programme support service • Simple navigational elements (i.e. Topic Badges and term extraction) to support contextual, semantic navigation • Common set of web scale identifiers to help classify all BBC online content (and external URLs) and to help create equivalency between multiple vocabularies

  5. Cross-Linking Legacy Content with Legacy Systems • Desire to link to further BBC domains (apart from programmes and music) • Through an about-relationship between programmes, people, places and subjects • Data was created with a legacy auto-categorization system called CIS. • CIS holds a hierarchy of terms in five main top-level classes: • Proper names • Subjects • Brands • Time periods • Places • Objects identified with /programmes and /music are also to be found within other domains: Mechanism to map between equivalent terms • Linking CIS Concepts to DBpedia

  6. Linking BBC Domains

  7. Linking BBC Domains • DBpedia weighted Label Lookup using Wikipedia inter-article-links as weight indicator • links(redirect)*log2(weight(article)) • Context-Based Disambiguation • Disambiguate possible concept matches to identify similarity contexts of CIS terms by clustering matches and finding according contexts in DBpedia

  8. Linking Documents to Concepts • Named entity extraction system Muddy Boots • Instead of solutions from OpenCalais, Twine and Zemanta because it reuses existing web identifiers, i.e. Wikipedia/Dbpedia URIs • BBC News articles, recognize entities in those articles • Use DBpedia identifier for those entities • Content Link Tool to add or remove DBpedia identifiers from any given BBC URL

  9. Create User Journeys:Topic Pages and Navigation Badges • Topic pages • Creation of aggregation pages of unstructured and structured content • Pull together the modeled world of BBC programmes (CIS identifiers mapped to DBpedia) and unstructured world of BBC News articles • Navigational Badges • Once a user has entered an area of BBC content there are few links through to other related content • Providing this link is the role of the navigation badge

  10. Conclusions • User experience in the center of BBC efforts • Semantics as enabler • What we can learn form the BBC • User should be in the center of efforts • Pages not strictly structured according to domain model • Semantics primarily enable smart interlinking to additional content • Well hidden magic • Simplicity of domain models is beauty • For more information refer to “Beyond the polar bear presentation” • http://www.slideshare.net/reduxd/beyond-the-polar-bear

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