Document (#15562)

Author

Chen, H.
Ng, T.D.
Martinez, J.
Schatz, B.R.

Title

¬A concept space approach to addressing the vocabulary problem in scientific information retrieval : an experiment on the Worm Community System

Source

Journal of the American Society for Information Science. 48(1997) no.1, S.17-31

Year

1997

Abstract

This research presents an algorithmic approach to addressing the vocabulary problem in scientific information retrieval and information sharing, using the molecular biology domain as an example. We first present a literature review of cognitive studies related to the vocabulary problem and vocabulary-based search aids (thesauri) and then discuss techniques for building robust and domain-specific thesauri to assist in cross-domain scientific information retrieval. Using a variation of the automatic thesaurus generation techniques, which we refer to as the concept space approach, we recently conducted an experiment in the molecular biology domain in which we created a C. elegans worm thesaurus of 7.657 worm-specific terms and a Drosophila fly thesaurus of 15.626 terms. About 30% of these terms overlapped, which created vocabulary paths from one subject domain to the other. Based on a cognitve study of term association involving 4 biologists, we found that a large percentage (59,6-85,6%) of the terms suggested by the subjects were identified in the cojoined fly-worm thesaurus. However, we found only a small percentage (8,4-18,1%) of the associations suggested by the subjects in the thesaurus

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3. Wang, J.: Automatic thesaurus development : term extraction from title metadata (2006) 0.25

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4. Zhang, J.; Mostafa, J.; Tripathy, H.: Information retrieval by semantic analysis and visualization of the concept space of D-Lib® magazine (2002) 0.24

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5. Losee, R.: Thesaurus structure, descriptive parameters, and scale (2016) 0.23

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