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

  • Ankita Kandpal
  • R. H. Goudar
  • Rashmi Chauhan
  • Shalini Garg
  • Kajal Joshi
Conference paper
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 

References

  1. 1.
    Euzenat, J., Shaviko, P.: Ontology Matching. IEEE Trans. Knowl. Data Eng 25(1), 158–176 (2013)Google Scholar
  2. 2.
    Lambrix, P., Tan, H.: SAMBO—a system for aligning and merging biomedical ontologies. J. Web Semantics 4(1), 196–206 (2006)CrossRefGoogle Scholar
  3. 3.
    Duong, T.H., Jo, G.S.: Anchor-prior: an effective algorithm for ontology integration. 978-1-4577-0653-0/11 2011, IEEEGoogle Scholar
  4. 4.
    Hu, W., Qu, Y., Cheng, G.: Matching large ontologies: a divide-and-conquer approach. Data Knowl. Eng 67(1), 140–160 (2008)CrossRefGoogle Scholar
  5. 5.
    Jean-Mary, Y.R., Shironoshita, E.P., Kabuka, M.R.: Ontology matching with semantic verification. J. Web Semantics 7(3), 235–251 (2009)CrossRefGoogle Scholar
  6. 6.
    Acampora, G., Avella, P., Loia, V., Salerno, S., Vitiello, A.: Improving ontology alignment through memetic algorithms. In: IEEE International Conference on Fuzzy Systems, June 2011Google Scholar

Copyright information

© Springer India 2014

Authors and Affiliations

  • Ankita Kandpal
    • 1
  • R. H. Goudar
    • 2
  • Rashmi Chauhan
    • 2
  • Shalini Garg
    • 1
  • Kajal Joshi
    • 1
  1. 1.Department of Information TechnologyGraphic Era UniversityDehradunIndia
  2. 2.Department of Computer ScienceGraphic Era UniversityDehradunIndia

Personalised recommendations