| Abstract |
: |
Users of current World Wide Web (WWW) themselves have to involve in refining their search queries in order to find the exact answers because current WWW is web of documents representing only text, audio, video, images and metadata information (unstructured data) not conceptual information. Computers are used to present those documents only and not for retrieving the desired results which ultimately overburdens the users task. Therefore, to deal with this issue, Tim Berner Lee inventor of WWW envisioned semantic web which prioritizes data than documents and uses ontologies to manage the data. Ontologies have been realized as the key technology to shaping and exploiting information for the effective management of knowledge by establishing a common vocabulary for community members to interlink, combine, and communicate knowledge. But, due to the availability large number of ontologies of same domain, integrating data using ontology has become a big challenge. Therefore, there is a need to unify desperate ontologies belonging to same domain to bridge the gap between conceptualization of the same domain. To deal with this challenge, a framework is being proposed in this paper which works to unify the desperate ontologies by a merging technique. Ontology merging process collects the ontologies of the same domain, unifies their entities (class, property) and forms a global ontology. The empirical result shows the construction of global concept indexer which collects unique concepts by applying matching operation between concepts taken from desperate ontologies. |
