Patent ID: 6778995
Filing Date: 2004-08-17
Classification: G06F,Y10S

Abstract:
A system for building a multi-dimensional semantic concept space over a stored document collection, comprising:an extraction module identifying a plurality of documents within a stored document collection containing substantially correlated terms reflecting syntactic content, comprising: an extractor extracting the terms in literal form from the documents; a selector selecting the terms having frequencies of occurrence falling within a predefined threshold as being substantially correlated; a vector module generating a vector reflecting latent semantic similarities discovered between substantially correlated documents logically projected at an angle &thgr; from a common axis in a concept space; a cluster module forming one or more arbitrary clusters at an angle &sgr; from the common axis in the concept space, each cluster comprising documents having such an angle &thgr; falling within a predefined variance of the angle &sgr; for the cluster, and constructing a new arbitrary cluster at an angle &sgr; from the common axis in the concept space, each new cluster comprising documents having such an angle &thgr; falling outside the predefined variance of the angle &sgr; for the remaining clusters.