Towards the Extraction of Intelligence about Competitor from the Web

Authors:
Jie Zhao;Peiquan Jin
Affiliations:
School of Industry and Administration, Anhui University, Hefei, China 230039 and School of Management, University of Science and Technology of China, Hefei, China;Department of Computer Science and Technology, University of Science and Technology of China, Hefei, China
Venue:
WSKS '09 Proceedings of the 2nd World Summit on the Knowledge Society: Visioning and Engineering the Knowledge Society. A Web Science Perspective
Year:
2009

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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.