Indexing of knowledge base in multilayer self-organizing maps with hessian and perturbation induced fast learning

摘要

A system and a method for an automated intelligent information mining includes receiving product-related queries and respective product-related information from various text sources; extracting multiple key-phrases from the product-related information and received queries; generating two or more layers of contextual relation maps by mapping the extracted key-phrases to two-dimensional maps using a self organizing map, and a technique including a combination of Hessian matrix and Perturbation technique to enhance the learning process and to categorize the extracted key-phrases based on a contextual meaning. Further, the technique includes forming word clusters and constructing corresponding key phrase frequency histograms for each of the generated contextual relation maps. The technique then includes generating two or more two-dimensional structured document maps of product and queries from the constructed phrase frequency histograms and the generated self-organizing maps using the combination of the Hessian matrix and the Perturbation technique. Then the technique includes selecting answers to the received queries based on masking the generated product and queries related two-dimensional structured maps, respectively.