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Intelligent Computing, Networking, and Informatics pp 1077–1087Cite as

Effective Ontology Alignment: An Approach for Resolving the Ontology Heterogeneity Problem for Semantic Information Retrieval

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Part of the Advances in Intelligent Systems and Computing book series (AISC,volume 243)

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.

Keywords

  • Ontology
  • Ontology mapping
  • Semantic annotation
  • Ontology alignment

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  • DOI: 10.1007/978-81-322-1665-0_110
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Authors and Affiliations

  1. Department of Information Technology, Graphic Era University, Dehradun, India

    Ankita Kandpal, Shalini Garg & Kajal Joshi

  2. Department of Computer Science, Graphic Era University, Dehradun, India

    R. H. Goudar & Rashmi Chauhan

Authors
  1. Ankita Kandpal
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  2. R. H. Goudar
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  3. Rashmi Chauhan
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  4. Shalini Garg
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  5. Kajal Joshi
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Corresponding author

Correspondence to Ankita Kandpal .

Editor information

Editors and Affiliations

  1. Computer Science and Engineering, National Institute of Technology Rourkela, Rourkela, Orissa, India

    Durga Prasad Mohapatra

  2. Computer Science and Engineering, SOA University, Bhubaneswar, India

    Srikanta Patnaik

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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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