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A Modified Ontology Based Personalized Search Engine Using Bond Energy Algorithm

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Advances in Computing and Communications (ACC 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 191))

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Abstract

Search engines play an important function in increasing the speed of access to web information. As the volume of the content on the web is dynamically increasing, the general purpose web search engines are becoming inadequate. Since users with different backgrounds give queries in different contexts expecting different responses. The large number of irrelevant results returned by a search engine usually disappoints the user. The personalization of search engine overcomes this problem by ranking the results of web documents based on the inherent relations and closeness between the query concept and web document. In this paper we personalize the search engine using the Fuzzy Concept Network (FCN) and the Bond Energy Algorithm (BEA). The BEA calculates the closeness called affinity. Our main idea is to employ the concept network built based on the user’s profile and ranks based on the Bond Energy Algorithm for searching and quickly retrieving of web pages. The advantage is that the most relevant search results can be retrieved. We examined our approach with data sets and prove our claims.

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References

  1. Pretschner, A., Gauch, S.: Ontology Based Personalized Search. Web Intelligence and Agent Systems 1(3-4) (December 2003)

    Google Scholar 

  2. Bhaskara Rao, B., Valli Kumari, V., Raju, K.: Semantic Similarity Computation: Ant colony Optimization Algorithm Using Ontology. In: ICINC 2010, pp. V2–199. IEEE, Los Alamitos (2011) 978-1-4244-8271-9/10

    Google Scholar 

  3. Tamer Ozsu, M., Valduriez, P.: Principles of Distributed Database Systems, 131–150

    Google Scholar 

  4. Matthews, B.: Semantic web technologies. JISC Technology and Standards Watch, CCLRC Rutherford Appleton Laboratory

    Google Scholar 

  5. Chen, S.M., Horng, Y.J., Lee, C.H.: Fuzzy Information Retrieval based on Multi-relationship Fuzzy Concept Networks. Fuzzy Sets and Systems 140, 183–205 (2003)

    Article  MathSciNet  MATH  Google Scholar 

  6. Chen, S.M., Wang, J.Y.: Document Retrieval Using Knowledge-based Fuzzy Information Retrieval Techniques. IEEE Trans. Syst. Man Cybern. 25, 793–803 (1995)

    Article  Google Scholar 

  7. Widyantoro, D.H., Yen, J.: Using Fuzzy Ontology for Query Refinement in a Personalized Abstract Search Engine. IEEE, Los Alamitos (2001); ISBN 0-7803-3/01

    Book  Google Scholar 

  8. Chen, S.M., Horng, Y.J., Lee, C.H.: Document Retrieval Using Fuzzy Valued Concept Networks. IEEE Trans. Syst. Man Cybern. 31, 111–118 (2001)

    Article  Google Scholar 

  9. Kim, K.J., Cho, S.B.: A Personalized Web Search Engine Using Fuzzy Concept Network with Link Structure. In: Proc. IFSA World Cong. NAFIPS Conf., pp. 81–86 (2001)

    Google Scholar 

  10. Akhlaghian, F., Arzanian, B., Moradi, P.: A Personalized Search Engine Using Ontology Based Fuzzy Concept Networks. In: International Conference on Data Storage and Data Engineering, DSDE 2010, pp. 137–141. IEEE CS Digital Library, Los Alamitos (2010)

    Chapter  Google Scholar 

  11. Akhlaghian, F., Arzanian, B., Moradi, P.: A Multi-agent Based Personalized Meta-search Engine Using Automatic Fuzzy Concept Networks. In: Proceedings 3rd International Conference on Knowledge Discovery and Data Mining, DSDE, pp. 208–211 (2010) 978-0-7695-3923-2/10

    Google Scholar 

  12. Lucarella, D., Morara, R.: FIRST: Fuzzy information retrieval system. Journal of Information Science 17(1), 81–91 (1991)

    Article  Google Scholar 

  13. Zadeh, L.A.: Fuzzy sets. Information and Control 8, 338–353 (1965)

    Article  MathSciNet  MATH  Google Scholar 

  14. Chang, C.-S., Chen, A.L.P.: Supporting Conceptual and Neighborhood Queries on the World Wide Web. IEEE Transa. Man Cybern 28, 300–308

    Google Scholar 

  15. WordNet. A lexical database for English. Princeton University, Princeton, www.wordnet.princeton.edu

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Author information

Authors and Affiliations

  1. Department of I T, G I T, GITAM University, Visakhapatnam, Andhra Pradesh, 45, India

    Bhaskara Rao Boddu

  2. Department of CS&SE, College of Engg., Andhra University, Andhra Pradesh, 03, India

    Valli Kumari Vatsavayi

Authors
  1. Bhaskara Rao Boddu
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  2. Valli Kumari Vatsavayi
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Editor information

Editors and Affiliations

  1. Machine Intelligence Research Labs (MIR Labs), Auburn, 98071-2259, Washington, USA

    Ajith Abraham

  2. Departamento de Comunicaciones, Universidad Politcnica de Valencia, 46071, Valencia, Spain

    Jaime Lloret Mauri

  3. Avaya Labs Research, Basking Ridge, NJ, USA

    John F. Buford

  4. University of Massachusetts, 100 Morrissey Blvd., 02125-3393, Boston, MA, USA

    Junichi Suzuki

  5. Rajagiri School of Engineering and Technology, Rajagiri Valley, Kakkanad, 682 039, Kochi, India

    Sabu M. Thampi

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© 2011 Springer-Verlag Berlin Heidelberg

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Boddu, B.R., Vatsavayi, V.K. (2011). A Modified Ontology Based Personalized Search Engine Using Bond Energy Algorithm. In: Abraham, A., Lloret Mauri, J., Buford, J.F., Suzuki, J., Thampi, S.M. (eds) Advances in Computing and Communications. ACC 2011. Communications in Computer and Information Science, vol 191. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22714-1_31

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  • DOI: https://doi.org/10.1007/978-3-642-22714-1_31

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-22713-4

  • Online ISBN: 978-3-642-22714-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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