MultiPerspective Comparative Study Common Context Based knowledge integration

Abstract

In natural language processing NLP knowledge discovery is an important area of research Knowledge discovery process involves lexical ambiguity and semantically ambiguity Further it concentrates on developing and building intelligent open domain to resolve the issues in the language processing areas Knowledge discrimination and sense disambiguation are the two important areas of research Word sense disambiguation WSD is the problem of selecting a right sense for a word from a set of predefined possibilities Sense Inventory usually comes from a dictionary or thesaurus Knowledge intensive methods supervised learning and sometimes bootstrapping approaches are being used This research work incorporates experienced learning styles such as converger for active conceptualization and experimentation diverger for concrete experience and reflective observation Assimilator for abstract conceptualization and reflective observation Accomodator for concrete experience and active experimentation