Enrich Existing Ontologies with New Knowledge from Existing Artifacts

Abstract

This work investigates that how new terms or concepts will be enriched in an existing ontology from existing artifacts. As we know that daily new information is added in the system. Semantic web is used nowadays to extract the meaningful information from web. With the advent of such a large amount of information every day, generating new ontology from scratch is a very difficult task but it is easier to add the new information in the already existing ontology. If the ontology will be updated manually then there can be many problems like time consumption and error generation because there are very large files of ontology. To address this challenge we are going to purpose an approach that will enrich the existing Ontologies from existing artifacts. The main objective of this proposed approach is to extract the information from UML artifacts and existing Ontologies and then enrich the existing ontology with the new information which was not present before enrichment in the ontology. Various experiments and evaluation are conducted to support our proposed approach.