Semantic Annotation Framework For Intelligent Information Retrieval Using KIM Architecture

Abstract

Due to the explosion of information/knowledge on the web and wide use of search engines for desired information,the role of knowledge management(KM) is becoming more significant in an organization. Knowledge Management in an Organization is used to create ,capture, store, share, retrieve and manage information efficiently. The semantic web, an intelligent and meaningful web, tend to provide a promising platform for knowledge management systems and vice versa, since they have the potential to give each other the real substance for machine-understandable web resources which in turn will lead to an intelligent, meaningful and efficient information retrieval on web. Today,the challenge for web community is to integrate the distributed heterogeneous resources on web with an objective of an intelligent web environment focusing on data semantics and user requirements. Semantic Annotation(SA) is being widely used which is about assigning to the entities in the text and links to their semantic descriptions. Various tools like KIM, Amaya etc may be used for semantic Annotation. In this paper, we introduce semantic annotation as one of the key technology in an intelligent web environment , then revisit and review, discuss and explore about Knowledge Management and Semantic Annotation. A Knowledge Management Framework and a Framework for Semantic Annotation and Semantic Search with Knowledge Base(GATE) and Ontology have been presented. Then KIM Annotation platform architecture including KIM Ontology(KIMO), KIM Knowledge Base and KIM front ends have been highlighted. Finally, intelligent pattern search and concerned GATE framework with a KIM Annotation Example have been illiustrated towards an intelligent information retrieval