Title of article
Learning the emergent knowledge from annotated blog postings
Author/Authors
Noh، نويسنده , , Tae-Gil and Park، نويسنده , , Seong-Bae and Park، نويسنده , , Se-Young and Lee، نويسنده , , Sang-Jo، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2010
Pages
11
From page
329
To page
339
Abstract
Emergent knowledge does not come from a particular document or a particular knowledge source, but comes from a collection of documents or knowledge sources. This paper proposes a system which combines social web content and semantic web technology to process the emergent knowledge from the blogosphere. The proposed system regards blog postings as experiences of people on particular topics. By annotating postings in the selected domains with ontology vocabularies, the system collects experiences from various people into an ontology about people and experiences. The system processes this ontology with semantic rules to find the emergent knowledge. Users can access previously unavailable facts, concepts and trends which are emerging from social web content by using the proposed system.
Keywords
Emergent knowledge , Social web , Ontology , Semantic search , ontology learning
Journal title
Web Semantics Science,Services and Agents on the World Wide Web
Serial Year
2010
Journal title
Web Semantics Science,Services and Agents on the World Wide Web
Record number
1449312
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