Combining web-based searching with latent semantic analysis to discover similarity between phrases

Authors:
Sean M. Falconer;Dmitri Maslov;Margaret-Anne Storey
Affiliations:
University of Victoria, Victoria, BC, Canada;University of Waterloo, Waterloo, ON, Canada;University of Victoria, Victoria, BC, Canada
Venue:
ODBASE'06/OTM'06 Proceedings of the 2006 Confederated international conference on On the Move to Meaningful Internet Systems: CoopIS, DOA, GADA, and ODBASE - Volume Part I
Year:
2006

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Abstract

Determining semantic similarity between words, concepts and phrases is important in many areas within Artificial Intelligence This includes the general areas of information retrieval, data mining, and natural language processing Existing approaches have primarily focused on noun to noun synonym comparison We propose a new technique for the comparison of general expressions that combines web searching with Latent Semantic Analysis This technique is more general than previous approaches, as it is able to match similarities between multi-word expressions, abbreviations, and alpha-numeric phrases Consequently, it can be applied to more complex comparison problems such as ontology alignment.