ExNa: An efficient search pattern for search engines

Xiao Wei, Xiangfeng Luo, Qing Li, Jun Zhang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-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 - 15th International Conference, WAIM 2014, Proceedings
PublisherSpringer-Verlag
Pages699-702
Number of pages4
ISBN (Print)9783319080093
DOIs
Publication statusPublished - 1 Jan 2014
Externally publishedYes
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 (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8485 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference15th International Conference on Web-Age Information Management, WAIM 2014
Country/TerritoryChina
CityMacau
Period16/06/1418/06/14

Keywords

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

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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