Title :
Domain specific ontology merging using semantics
Author :
Vidyarthi, Ankit ; Sharma, Ashok ; Sharma, Himani ; Soni, Archana
Abstract :
Semantic web represents a technique for getting semantic information from the particular domain ontology. It involves retrieving of the data semantically through domain ontology´s based on user queries. Still the merging of two or more domain specific ontology´s is a tedious task. In past, various ontology merging algorithms had been anticipated based on the concept of removing overlaps. In this paper a new approach of ontology merging is proposed based on the semantic analysis that deals with same domain specific ontology´s. Proposed algorithm is fully automated ontology merging algorithm which uses the class semantics and Property semantics by using Wordnet.
Keywords :
ontologies (artificial intelligence); query processing; semantic Web; Wordnet; automated ontology merging algorithm; class semantics; data retrieval; domain ontology; domain specific ontology merging; property semantics; semantic Web; semantic analysis; semantic information; user queries; Algorithm design and analysis; Educational institutions; Merging; Ontologies; Semantic Web; Semantics; Ontology; Ontology merging Algorithm; Semantic Web; Semantic based Algorithm;
Conference_Titel :
Confluence The Next Generation Information Technology Summit (Confluence), 2014 5th International Conference -
Conference_Location :
Noida
Print_ISBN :
978-1-4799-4237-4
DOI :
10.1109/CONFLUENCE.2014.6949313