Paper Details

The World Wide Web is evolving into a standard Semantic Web that requires efficient modeling ofknowledge bases. Knowledge Bases are the constructed mainly based on the domain level segregation of Ontologies.Most interestingly, dynamic construction of knowledge bases is a vital and an important task wherein query relevantdomain level ontology bases are constructed. Ontology Recommendation is a methodology to construct knowledge basesand is vital in the context of Semantic Web. It is quite important to retain the initial associations and axioms between theontologies as they are recommended to preserve ontology semantics. A semantic strategy that preserves associationsamong the ontology entities during recommendation of ontologies has been proposed. In this approach, domain levelOWL ontologies are converted into RDF by the derivation of intermediate XML parse trees. A HashMap-HashTablemethodology is used to preserve the axioms between the ontological concepts and individuals. The SemantoSim measurefor computing the semantic similarity has been proposed. The semantic relatedness is computed between the query andthe concepts at first and then between the query and the description logics which makes this a context driven ontologyrecommendation system. The context based ontology recommendation system with ontology relationship preservationyields an overall accuracy of 86.87 %.

Leena Giri G, Gerard Deepak, Manjula S H, Venugopal K R, “A Query Relevant Context Driven Ontology Recommendation System incorporating Semantics Preservation and Semantic Ontology Matching”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 5, pp. 1068-1078, May 2017.