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Content Aggregation on Knowledge Bases Using Graph Clustering

Content Aggregation on Knowledge Bases Using Graph Clustering

This video was recorded at 3rd Annual European Semantic Web Conference (ESWC), Budva 2006. Topics of interest to the conference include (but are not restricted to): Ontology Management (e.g. creation, evolution, evaluation) Ontology Alignment (e.g. mapping, matching, merging, mediation and reconciliation) Ontology Learning and Metadata Generation (including e.g. HLT and ML approaches) Multimedia and Semantic Web Semantic Annotation of Data Semantic Web Trust, Privacy, Security and Intellectual Property Rights Semantic Web Rules and Query Languages Reasoning on the Web (e.g. scalability, fuzziness, distribution) Searching, Querying, Visualizing, Navigating and Browsing the Semantic Web Personalization and User Modelling User Interfaces and Semantic Web Semantic Grid and Middleware Semantic Web Services (e.g. description, discovery, invocation, composition) Semantic Web-based Knowledge Management (e.g. Semantic Desktop, Knowledge Portals) Semantic Web for e-Business, e-Culture, e-Government, e-Health, e-Learning, e-Science Database Technologies for the Semantic Web Data Semantics and Web Semantics Semantic Interoperability Semantic Web Mining.


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