doi: 10.4304/jsw.6.8.1513-1520
Extraction and Credibility Evaluation of Webbased Competitive Intelligence
- 1 School of Business Administration, Anhui University, Hefei, China
- 2 School of Management, University of Science and Technology of China, Hefei, China
- 3 School of Computer Science and Technology, University of Science and Technology of China, Hefei, China
Abstract
Web has been one of major information sources for enterprises to acquire competitive intelligence. However, traditional approaches focus on collecting Web pages and fail to generate practical competitive intelligence from Web pages. Another problem in the research on Web-based competitive intelligence is that Web pages may contain a lot of incredible information which will have big influence on the effectiveness of competitive intelligence. Aiming at solving these problems, we propose a framework in this paper for the extraction and credibility evaluation of Web competitive intelligence. We present an entity-based approach to extracting Web competitive intelligence, and a social-network-based method to evaluate the credibility of acquired competitive intelligence. The entity-based extracting approach is based on an ontology of Web competitive intelligence, which represents competitive intelligence as a set of competitor intelligence and competition environment intelligence. Some critical issues about the entity-based approach and the social-networkbased method are analyzed in detail. The results show that our system is useful to improve the effectiveness of the extraction and credibility evaluation of Web competitive intelligence.
Keywords
- competitive
- intelligence;
- Web;
- entity-ba
How to Cite
Jie Zhao and Peiquan Jin, "Extraction and Credibility Evaluation of Webbased Competitive Intelligence," Journal of Software, vol. 6, no. 8, pp. 1513-1520, 2011. https://doi.org/ 10.4304/jsw.6.8.1513-1520
Copyright & License
Copyright © 2011 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).