Abstract
For more precise and better information retrieval on the semantic web, where meaningful but sometimes irrelevant information is retrieved; using ontology mapping, there could be an improvement in getting more relevant information. Ontology mapping is the process of finding the similarity between the concepts in a heterogeneous environment. This paper presents an approach for ontology mapping. Two different ontologies of a particular domain are considered, and the concepts that are similar to each other from both of the ontology, are retrieved, i.e., Ontology alignment. Also, the similarity is being calculated if the two concepts are not matched even by expanding the term. The conceptual analysis of the technique shows that the results obtained through the proposed approach provides the semantic terms of the same domain.
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Kandpal, A., Goudar, R.H., Chauhan, R., Garg, S., Joshi, K. (2014). Effective Ontology Alignment: An Approach for Resolving the Ontology Heterogeneity Problem for Semantic Information Retrieval. In: Mohapatra, D.P., Patnaik, S. (eds) Intelligent Computing, Networking, and Informatics. Advances in Intelligent Systems and Computing, vol 243. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1665-0_110
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DOI: https://doi.org/10.1007/978-81-322-1665-0_110
Publisher Name: Springer, New Delhi
Print ISBN: 978-81-322-1664-3
Online ISBN: 978-81-322-1665-0
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