Ernst & Young / Kohonen SOM / Yahoo! / Futures Group / D 2002 Elsevier Science B.V. / General Motors / UPenn Treebank / Decision Support Systems / AltaVista / Verity / /
Eller College of Business / University of Arizona / National Institute of Standards and Technology / /
IndustryTerm
categorization algorithm / Web Hsinchun Chen / search request / search terms / search options / certain Web site / Internet Spiders The Internet Spiders / monitor Web / real-time search strategy / information search / within-site / Document categorization systems / natural language processing techniques / typical commercial search engines / artificial neural network / groups Web / domain-specific search engines / online databases / embedded Web / software agent / Web documents / automatic indexing algorithms / Internet-based information sources / natural language processing literature / given Web site / search systems / given search query / Web search engines / Web-based sources / search query / automatic search / business transformation services / Web master / search process / neural network algorithms / visualization tools / Internet domain / Machine learning algorithms / Web document clustering / Internet search engine technology / search keyword / static Web information / Internet Commercial online databases / search constraints / meta-search engines / search strategy / Web page contents / Internet search engines / Internet Usenet groups / typical search engines / Internet searching / Web document retrieval / above commercial Web search engines / search methods / user search queries / search keywords / search engines available indexes / Internet browser / Web search engine / knowledge management products / Internet Spiders / search engines / retrieved Web / manual within-site / Natural language processing / company Web site / artificial neural network algorithm / domainspecific search engines / graph search algorithms / search engine / search results / particular Web site / usual search engine approach / Internet spider / up with using different search methods / /
Organization
Defense Advanced Research Projects Agency / Daniel Zeng Department of Management Information Systems / National Institute of Standards and Technology / Department of Management Information Systems / Society of Competitive Intelligence Professionals / Eller College of Business and Public Administration / Competitive Intelligence / Abstract Competitive Intelligence / University of Arizona / /
Person
Michael Chau / Daniel Zeng / / /
Position
general business information / Corresponding author / /
Decision Support Systems[removed] – 17 www.elsevier.com/locate/dsw CI Spider: a tool for competitive intelligence on the Web Hsinchun Chen *, Michael Chau, Daniel Zeng Department of Management Information Systems, E