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Automatic Construction of Networks of Concepts Characterizing Document Databases

Chen, Hsinchun and Lynch, K.J. (1992) Automatic Construction of Networks of Concepts Characterizing Document Databases. IEEE Transactional on Systems, Man, and Cybermetics 22(5):pp. 885-902.

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Abstract

The results of a study that involved the creation of knowledge bases of concepts from large, operational textual databases are reported. Two East-bloc computing knowledge bases, both based on a semantic network structure, were created automatically using two statistical algorithms. With the help of four East-bloc computing experts, we evaluated the two knowledge bases in detail in a concept-association experiment based on recall and recognition tests. In the experiment, one of the knowledge bases that exhibited the asymmetric link property out-performed all four experts in recalling relevant concepts in East-bloc computing. The knowledge base, which contained about 20,O00 concepts (nodes) and 280,O00 weighted relationships (links), was incorporated as a thesaurus-like component into an intelligent retrieval system. The system allowed users to perform semantics-based information management and information retrieval via interactive, conceptual relevance feedback.

EPrint Type:Journal Article (Paginated)
Keywords:National Science Digital Library, NSDL, Artificial Intelligence Lab, AI Lab, Information Retrieval
Subjects:Databases
Artificial Intelligence
ID Code:508
Deposited On:01 October 2004
Alternative Locations:http://ai.bpa.arizona.edu/go/papers.html
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