Optimized Content Retrieval Using Ontology Mapping

Authors

  • A. Leo Prabu  Department Of MCA, Anna University (Bit Cmpus), Trichy, Tamil Nadu, India
  • Dr. A. Valarmathi  Department Of MCA, Anna University (Bit Cmpus), Trichy, Tamil Nadu, India

Keywords:

Semantic Mismatches, Ontology Mapping, Ranking, Semantic-Web, Context Aware.

Abstract

Ontology similarity calculation and ontology mapping are important in information retrieval. This paper identifies the nature of semantic mismatches and essential elements that need to be taken into account for ontology mapping via the ranking learning algorithm. The similarity between two concepts that can be measured by comparing the difference between their corresponding ranking in terms of real numbers. Search optimization based on ontology provided by enhancing page to semantic –web on context aware pages.

References

  1. Semantic Web Portal Survey- the state of the art survey by Holger Lausen, Michael Stollberg, Rubén Lara Hernández,Ying Ding, Sung-Kook Han, Dieter Fensel
  2. Semantic Web- An extensive Literature Review byRashmi Bakshi, Assistant Professor, VSIT,VIPS  Abhishek Vijhani, MCA Student, JIMS
  3. Semantic Integration: A Survey Of Ontology Based Approaches by Natalya F. Noy
  4. The Use of Semantic Web Technologies for  Decision Support - A Survey by Eva Blomqvist
  5. Quality Assessment for Linked Data: A Survey
  6. A Systematic Literature Review and Conceptual Framework by Amrapali Zaveri a;, Anisa Rula b, Andrea Maurino b, Ricardo Pietrobon c, Jens Lehmann a and Sören Auer

IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

Downloads

Published

2017-04-30

Issue

Volume 2, Issue 2, March-April-2017

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
A. Leo Prabu, Dr. A. Valarmathi, " Optimized Content Retrieval Using Ontology Mapping, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 2, pp.1151-1155, March-April-2017.