Enhanced Google-Based Semantic Category Search

Authors

  • Mohammed Adeeb Department of Computer Science, College of Computer, Al-Anbar University, Iraq
  • Ahmed Sleman Department of Computer Science, College of Computer, Al-Anbar University, Iraq
  • Sumaya Abdullah Department of Computer Science, College of Computer, Al-Anbar University, Iraq
  • Belal Al-Khateeb Department of Computer Science, College of Computer, Al-Anbar University, Iraq

DOI:

https://doi.org/10.21928/juhd.v1n4y2015.pp398-403

Keywords:

Search Engine, Google, Keyword, Information Retrieval, Category

Abstract

Recently search services have been developed rapidly especially when the social internet appeared. It can help web users easily find their documents. So that it is very difficult to find a best search method. This paper aims to enhance the quality of the search engines results and this can be done by adding a second level category search that is able to search for the keyword and its synonyms, which enables the search engines to get more users queries related results. The proposed method showed promising results that will open further research directions

Published

2015-09-30

Issue

Section

Articles

How to Cite

Enhanced Google-Based Semantic Category Search. (2015). Journal of University of Human Development, 1(4), 398-403. https://doi.org/10.21928/juhd.v1n4y2015.pp398-403

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