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INTELLIGENT KNOWLEDGE RETRIEVAL THROUGH COLLABORATIVE KNOWLEDGE SHARING
 

Summary: 1
INTELLIGENT KNOWLEDGE RETRIEVAL THROUGH
COLLABORATIVE KNOWLEDGE SHARING
HATIM SALEH
Faculty of Computer Science, Dalhousie University, Halifax, Canada
SYED SIBTE RAZA ABIDI
Faculty of Computer Science, Dalhousie University, Halifax, Canada
The prevailing issues of information overload, lack of peer review and context
identification tend to compromise the relevance and utility of knowledge resources
present on the web. In the absence of definitive measures to ascertain the relevance of
web-based knowledge content, we propose a collaborative knowledge sharing approach
for determining the relevance of specific web-based knowledge content as per a user's
interest and needs. The underlying idea is to leverage the expertise, commonality of
interest and information retrieval pattern of an online community of practice to determine
and to suggest the relevant knowledge content for a particular user. In effect, we
aggregate the otherwise solitary knowledge retrieval efforts of the members of a
community of practice to realize community-driven specialized knowledge clusters--
where each cluster encompasses the individual knowledge resources validated by like-
minded members of the community--that are used to assist specialized knowledge
retrieval by all members of the online community. We present the notion of using

  

Source: Abidi, Syed Sibte Raza - Faculty of Computer Science, Dalhousie University

 

Collections: Computer Technologies and Information Sciences