Title :
Experience Search: Accessing the Emergent Knowledge from Annotated Blog Postings
Author :
Noh, Tae-Gil ; Han, Yong-Jin ; Son, Jeong-Woo ; Song, Hyun-Jae ; Yoon, Hee-Geun ; Lee, Jae-Ahn ; Lee, Sang-Do ; Kim, Kye-Sung ; Lee, Young-Hwa ; Park, Seong-Bae ; Park, Se-Young ; Lee, Sang-Jo
Author_Institution :
Comput. Eng. Dept., Kyungpook Nat. Univ., Daegu, South Korea
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 the social Web contents and the 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 system.
Keywords :
Web sites; data mining; ontologies (artificial intelligence); semantic Web; annotated blog posting; blogosphere; document collection; emergent knowledge access; experience collection; knowledge source; ontology vocabulary; semantic Web technology; social Web content; Humans; Information services; Internet; Knowledge engineering; Ontologies; Search engines; Semantic Web; User-generated content; Vocabulary; Web sites;
Conference_Titel :
Computational Science and Engineering, 2009. CSE '09. International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4244-5334-4
Electronic_ISBN :
978-0-7695-3823-5
DOI :
10.1109/CSE.2009.316