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Towards the Extraction of Intelligence about Competitor from the Web

  • Jie Zhao
  • Peiquan Jin
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5736)

Abstract

In this paper we present a system framework for the extraction of intelligence about competitor from the Web. With the surprising increasing of the data volume in the Web, how to get useful intelligence about competitor has been an interesting issue. Previous study shows that most people prefer to look up information by competitor. We first analyze the requirements on the extraction of competitor intelligence from the Web and define three types of intelligence for competitor. And then a system framework to extract competitor intelligence from the Web is described. We discuss the three key issues of the system in detail, which are the profile intelligence extraction, the events intelligence extraction, and the relations intelligence extraction. Some new techniques to deal with those issues are introduced in the paper.

Keywords

competitive intelligence competitor Web intelligence extraction 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Jie Zhao
    • 1
    • 2
  • Peiquan Jin
    • 3
  1. 1.School of Industry and AdministrationAnhui UniversityHefeiChina
  2. 2.School of ManagementUniversity of Science and Technology of ChinaHefeiChina
  3. 3.Department of Computer Science and TechnologyUniversity of Science and Technology of ChinaHefeiChina

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