ExNa: An Efficient Search Pattern for Search Engines

Xiao Wei, Xiangfeng Luo*, Qing Li, Jun Zhang

*Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

2 Citations (Scopus)

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.
Original languageEnglish
Title of host publicationWeb-Age Information Management
Subtitle of host publication15th International Conference, WAIM 2014, Proceedings
EditorsFeifei Li, Guoliang Li, Seung-won Hwang, Bin Yao, Zhenjie Zhang
PublisherSpringer Verlag
Pages699-702
ISBN (Electronic)9783319080109
ISBN (Print)9783319080093
DOIs
Publication statusPublished - Jun 2014
Event15th International Conference on Web-Age Information Management (WAIM 2014) - Macau, China
Duration: 16 Jun 201418 Jun 2014

Publication series

NameLecture Notes in Computer Science
Volume8485
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference15th International Conference on Web-Age Information Management (WAIM 2014)
PlaceChina
CityMacau
Period16/06/1418/06/14

Research Keywords

  • Index structure
  • Interaction process
  • Search pattern
  • User profile

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