Using latent semantic indexing for literature based discovery

Michael D. Gordon and Susan Dumais

Journal of the American Society for Information Science, 1998, vol. 49, issue 8, 674-685

Abstract: Latent semantic indexing (LSI) is a statistical technique for improving information retrieval effectiveness. Here, we use LSI to assist in literature‐based discoveries. The idea behind literature‐based discoveries is that different authors have already published certain underlying scientific ideas that, when taken together, can be connected to hypothesize a new discovery, and that these connections can be made by exploring the scientific literature. We explore latent semantic indexing's effectiveness on two discovery processes: uncovering “nearby” relationships that are necessary to initiate the literature based discovery process; and discovering more distant relationships that may genuinely generate new discovery hypotheses. © 1998 John Wiley & Sons, Inc.

Date: 1998
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https://doi.org/10.1002/(SICI)1097-4571(199806)49:83.0.CO;2-T

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Persistent link: https://EconPapers.repec.org/RePEc:bla:jamest:v:49:y:1998:i:8:p:674-685

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