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Latent Semantic Indexing for Patent Information

Ryley, Dr. James (2007) Latent Semantic Indexing for Patent Information. [Preprint]

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Abstract

Latent Semantic Indexing (LSI) promises more accurate retrieval of information by incorporating statistical information on term meaning and frequency while retrieving documents as a result of a search. LSI’s precision and accuracy has been proven many times on test corpora, but the world’s patent literature poses a significant challenge in effectively implementing an LSI search engine due the size and heterogeneity of the patent corpus. Some of the factors which must be addressed to realize the goal of a more accurate patent search engine are discussed herein.

Item Type:Preprint
Keywords:patents, search, LSI, LSA, latent semantic indexing, latent semantic analysis, SVD, singular value decomposition, conceptual search
Subjects:Computer Science > Language
ID Code:5710
Deposited By: Ryley, Dr. James
Deposited On:12 Sep 2007
Last Modified:11 Mar 2011 08:56

References in Article

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