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Concept Similarity and Cosine Similarity Result Merging Approaches in Metasearch Engine

  • K. Srinivas
  • A. Govardhan
  • V. Valli Kumari
  • P. V. S. Srinivas
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 150)

Abstract

Metasearch engines provide a uniform query interface for Internet users to search for information. Depending on users need, they select relevant sources and map user queries into the target search engines, subsequently merging the results. In this paper, we have proposed a metasearch engine, which have two unique steps (1) searching through surface and deep web, and (2) Ranking the results through the designed ranking algorithm. Initially, the query given by the user is given to the surface and deep search engines. Here, the surface search engines like Google, Bing and Yahoo are considered. At the same time, the deep search engine such as, Infomine, Incywincy and CompletePlanet are considered. The proposed method will use two distinct algorithms for ranking the search results, which are concept similarity and cosine similarity.

Keywords

Metasearch engine Concept Cosine similarity Deep web Surface web 

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Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  • K. Srinivas
    • 1
  • A. Govardhan
    • 2
  • V. Valli Kumari
    • 3
  • P. V. S. Srinivas
    • 4
  1. 1.Department of ITGeethanjali College of Engineering and TechnologyCheeryal(V), Keesara(M), Ranga ReddyIndia
  2. 2.Jawaharlal Nehru Technological UniversityHyderabadIndia
  3. 3.Department of CS and SEAndhra University College of Engineering, Andhra UniversityVisakhapatnamIndia
  4. 4. Department of CSEGeethanjali College of Engineering and TechnologyCheeryal(V), Keesara(M), Ranga ReddyIndia

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