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ExNa: An Efficient Search Pattern for Search Engines

  • Xiao Wei
  • Xiangfeng Luo
  • Qing Li
  • Jun Zhang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8485)

Abstract

As the Web enters Big Data age, users and search engines may find it more and more difficult to effectively use and manage such big data. To solve this problem, this paper presents a novel search pattern named ExNa by defining its model and basic operations in detail, which can help to design new type of search engines. To validate the ExNa search pattern, we develop a prototype news search engine named KNOWLE, which shows that KNOWLE equipped with ExNa can improve the efficiency of search system.

Keywords

Search pattern Index structure Interaction process User profile 

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References

  1. 1.
    ICSTI Insight: Next Generation Search, http://www.icsti.org/IMG/pdf/insight_2010_july.pdf
  2. 2.
    Wei, X., Luo, X., Li, Q., Zhang, J.: KNOWLE: Searching News in the Search Pattern of Knowledge Flow. In: Lin, X., Manolopoulos, Y., Srivastava, D., Huang, G. (eds.) WISE 2013, Part II. LNCS, vol. 8181, pp. 527–530. Springer, Heidelberg (2013)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Xiao Wei
    • 1
  • Xiangfeng Luo
    • 1
  • Qing Li
    • 2
  • Jun Zhang
    • 1
  1. 1.School of Computer Engineering and ScienceShanghai UniversityShanghaiChina
  2. 2.Department of Computer ScienceCity University of Hong KongHong Kong

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