Document (#22893)

Author

Gordon, M.D.
Dumais, S.

Title

Using latent semantic indexing for literature based discovery

Source

Journal of the American Society for Information Science. 49(1998) no.8, S.674-685

Year

1998

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 dicovery, and that these connections can be made by exploring the scientific literature. We explore latent semantic indexing's effectiveness on 2 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

Object

Latent Semantic Indexing

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5. Bartell, B.T.; Cottrell, G.W.; Belew, R.K.: Representing documents using an explicit model of their similarities (1995) 0.16

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