Md. Gordon et S. Dumais, USING LATENT SEMANTIC INDEXING FOR LITERATURE-BASED DISCOVERY, Journal of the American Society for Information Science, 49(8), 1998, pp. 674-685
Citations number
15
Categorie Soggetti
Information Science & Library Science","Computer Science Information Systems","Computer Science Information Systems
Latent semantic indexing (LSI) is a statistical technique for improvin
g information retrieval effectiveness. Here, we use LSI to assist in l
iterature-based discoveries. The idea behind literature-based discover
ies is that different authors have already published certain underlyin
g scientific ideas that, when taken together, can be connected to hypo
thesize a new discovery, and that these connections can be made by exp
loring the scientific literature. We explore latent semantic indexing'
s effectiveness on two discovery processes: uncovering ''nearby'' rela
tionships that are necessary to initiate the literature based discover
y process; and discovering more distant relationships that may genuine
ly generate new discovery hypotheses.