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Semantic Search Engine

Author

Listed:
  • D. Manjula

    (Department of Computer Science and Engineering, Anna University, Chennai-600 025, India)

  • T. V. Geetha

    (Department of Computer Science and Engineering, Anna University, Chennai-600 025, India)

Abstract

Currently existing search engines index documents only by words and as a result, when a query can be interpreted in different senses, the irrelevant results are obtained in the midst of relevant results. A semantic search engine is proposed here which indexes documents both by words and senses and as a result tries to avoid the irrelevant results. The "crawler" traverses the worldwide web and the normalized documents are sent to the disambiguator module, which identifies the top few sense(s) of ambiguous words by employing a weighted disambiguation algorithm. The documents are then indexed by the words and the senses. The query is also disambiguated in a similar manner and retrieval is performed by matching both the sense and the word. The performance of the semantic search engine is compared against traditional word based indexing and also against the commercial search engines like Google, Yahoo, Hotbot and Lycos. The results show an impressive precision for the semantic search engine compared to other engines, particularly for ambiguous queries.

Suggested Citation

  • D. Manjula & T. V. Geetha, 2004. "Semantic Search Engine," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 3(01), pages 107-117.
    • Handle: RePEc:wsi:jikmxx:v:03:y:2004:i:01:n:s0219649204000729
    DOI: 10.1142/S0219649204000729
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