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Ontology Based Content Management for Digital TV Services

Ontology Based Content Management for Digital TV Services. Haiyang Hu, Hua Hu, Yi Zhuang Zhejiang Gongshang University, China {hhy, huhua, zhuang}@mail.zjgsu.edu.cn. Introduction. Content management systems (CMS) are widely used in various industries.

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Ontology Based Content Management for Digital TV Services

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  1. Ontology Based Content Management for Digital TV Services Haiyang Hu, Hua Hu, Yi ZhuangZhejiang Gongshang University, China {hhy, huhua, zhuang}@mail.zjgsu.edu.cn

  2. Introduction • Content management systems (CMS) are widely used in various industries. • Semantic gap – discrepancy between the way video contents are coded digitally and the way they are experienced by human users. • General Problems: classification => searching • DTV problems • Subscribe channels through set-top boxes • Single direction • Limited ability in providing recommendations

  3. Agent-based Solution Overview • Proactively search channels or VOD contents for users based on different categories • Recommend channels based on channel classifications, user subscription, and profile preferences for up-sale • Notify users of new interesting contents • Provide statistical reports of users subscription in both vertical and horizontal domains • service provider can review the business needs and then look for new potential contents *** Use ontology

  4. Simplified Ontology forContent Annotation

  5. Partial Ontology Listing for Multimedia Content annotation <owl:Ontology rdf:about="#Content"> <rdfs:comment>Simplified Content Ontology</rdfs:comment> <owl:Class rdf:ID="Content" /> <owl:Class rdf:ID="Genre" /> <owl:Class rdf:ID="Category"> <rdfs:subClassOf rdf:resource="#Genre" /> ... </owl:Class> <owl:ObjectProperty rdf:ID="hasGenre"> <rdfs:domain rdf:resource="#Content" /> <rdfs:range rdf:resource="#Genre" /> </owl:ObjectProperty> ... <owl:DatatypeProperty rdf:ID="class"> <!-- Enumeration --!> <rdfs:domain rdf:resource="#Genre"/> <rdfs:range> <owl:DataRange> <owl:oneOf> <rdf:List> <rdf:rest> <rdf:List> <rdf:rest> <rdf:List> <rdf:rest><rdf:List> <rdf:rest rdf:resource="http://www.w3.org/1999/02/22-rdf-syntax-ns#nil"/> <rdf:first rdf:datatype="http://www.w3.org/2001/XMLSchema#string">I</rdf:first> </rdf:List></rdf:rest>… <rdf:first rdf:datatype="http://www.w3.org/2001/XMLSchema#string">III</rdf:first> </rdf:List> </owl:oneOf></owl:DataRange></rdfs:range> </owl:DatatypeProperty> … </owl:Ontology>

  6. Semantic basede-Marketplace Conceptual Model fighting vs. Kung-fu concert => music & performance

  7. Process Model of the CMS

  8. Understanding Requirements from Ontologies • Match key requirement issues like class, category, language as genre • For each issue, check if a direct mapping to a genre based on an agreed ontology is possible. • If not, the agent tries to see if sets of relating genres can be mapped by well-known graph search algorithms. • If the user accepts the new genre, new contents are recommended. • Further the agent refines the issue with new search criteria. Another set of related genres can be extracted. • Eventually more and more content matched users’ interests can be provided.

  9. System Implementation Architecture

  10. Advantages of Using Ontology

  11. Advantages of Using Ontology (cont)

  12. Conclusions • Ontology applied to an agent-based CMS system of DTV service. • Conceptual model for the content searching and subscription • Ontology helps improve mutual understanding between users and service providers • Relationship of contents can be extracted effectively for cross-sale and business analysis

  13. Future Work • Formal models • Elicitation of semantic distances • Enhancement of ontology-based matchmaking and recommendation algorithms • Ontology-based cross-sale and up-sale • Mobile clients and location / context-sensitive recommendations

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