Generating, integrating, and activating thesauri for concept-based document retrieval

Intelligent Systems
1993
Issue No. 2 - April
Abstract - Generating, integrating, and activating thesauri for concept-based document retrieval

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	Similar Articles Articles by Hsinchun Chen Articles by Kevin J. Lynch Articles by Koushik Basu Articles by Tobun Dorbin Ng

April 1993 (vol. 8 no. 2)

pp. 25-34

	ASCII Text	x
	Hsinchun Chen, Kevin J. Lynch, Koushik Basu, Tobun Dorbin Ng, "Generating, integrating, and activating thesauri for concept-based document retrieval," IEEE Intelligent Systems, vol. 8, no. 2, pp. 25-34, April, 1993.

	BibTex	x
	@article{ 10.1109/64.207426, author = {Hsinchun Chen and Kevin J. Lynch and Koushik Basu and Tobun Dorbin Ng}, title = {Generating, integrating, and activating thesauri for concept-based document retrieval}, journal ={IEEE Intelligent Systems}, volume = {8}, number = {2}, issn = {0885-9000}, year = {1993}, pages = {25-34}, doi = {http://doi.ieeecomputersociety.org/10.1109/64.207426}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - MGZN JO - IEEE Intelligent Systems TI - Generating, integrating, and activating thesauri for concept-based document retrieval IS - 2 SN - 0885-9000 SP25 EP34 EPD - 25-34 A1 - Hsinchun Chen, A1 - Kevin J. Lynch, A1 - Koushik Basu, A1 - Tobun Dorbin Ng, PY - 1993 VL - 8 JA - IEEE Intelligent Systems ER -

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/64.207426

A blackboard-based document management system that uses a neural network spreading-activation algorithm which lets users traverse multiple thesauri is discussed. Guided by heuristics, the algorithm activates related terms in the thesauri and converges of the most pertinent concepts. The system provides two control modes: a browsing module and an activation module that determine the sequence of operations. With the browsing module, users have full control over which knowledge sources to browse and what terms to select. The system's query formation; the retrieving, ranking and selection of documents; and thesaurus activation are described.

Citation:

Hsinchun Chen, Kevin J. Lynch, Koushik Basu, Tobun Dorbin Ng, "Generating, integrating, and activating thesauri for concept-based document retrieval," IEEE Intelligent Systems, vol. 8, no. 2, pp. 25-34, Apr. 1993, doi:10.1109/64.207426

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