Abstract
Ontology is a formal specification of knowledge by a set of concepts with in a domain and their semantic relationship. Different Ontologies are devolved by developer for a same domain differently. Furthermore, ontology tools using different language. Ontology merging in semantic web is used to resolve the heterogeneity problem among the source ontology. The language level and ontology level mismatches are the heterogeneity problem in the ontology merging. Lexical matching strategies resolve the syntax based on Jaro distance. The word net is a lexical database with synset which solve the problem of semantic mismatches. A knowledge base is constructed by using Semantic Web Rule Language (SWRL) for ontology level mismatches. A merging framework identifies the similarities and dissimilarities of source ontologies are merged to resolve the heterogeneity problem. Keywords: Ontology, Heterogeneity problem, word net, Lexical, Semantic, SWRL
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Advanced Research in Computer Science
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
