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Experience search: Accessing the emergent knowledge from annotated blog postings

  • Tae Gil Noh*
  • , Yong Jin Han
  • , Jeong Woo Son
  • , Hyun Jae Song
  • , Hee Geun Yoon
  • , Jae Ahn Lee
  • , Sang Do Lee
  • , Kye Sung Kim
  • , Young Hwa Lee
  • , Seong Bae Park
  • , Se Young Park
  • , Sang Jo Lee
  • *Corresponding author for this work
  • Kyungpook National University

Research output: Contribution to conferenceConference paperpeer-review

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 the social web contents by using the proposed system.

Original languageEnglish
Title of host publicationProceedings - 12th IEEE International Conference on Computational Science and Engineering, CSE 2009 - 2009 IEEE International Conference on Social Computing, SocialCom 2009
Pages639-644
Number of pages6
DOIs
StatePublished - 2009
Event2009 IEEE International Conference on Social Computing, SocialCom 2009 - Vancouver, BC, Canada
Duration: 2009.08.292009.08.31

Publication series

NameProceedings - 12th IEEE International Conference on Computational Science and Engineering, CSE 2009
Volume4

Conference

Conference2009 IEEE International Conference on Social Computing, SocialCom 2009
Country/TerritoryCanada
CityVancouver, BC
Period09.08.2909.08.31

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