Title :
Designing a Network Acquisition System of Competitive Intelligence
Author :
Shi, Guoliang ; Mou, Xiaorong ; Wan, Xu
Author_Institution :
Bus. Sch., Hohai Univ., Nanjing, China
Abstract :
Information acquisition is an important part in the competitive intelligence system. With the development of network technology, network information has become an important information source of competitive intelligence acquisition. However, the complex and chaotic information on the Internet result in inefficiency of artificial collecting and processing intelligence. This paper has discussed the use of Delphi, database technology to design a network competitive intelligence acquisition system, and then attempted to implement downloading the text information automatically from a specific Web site and save them to the local computer database. The innovation of this system is to use monitoring tools to capture concerned information (such as information about competitors) in real-time, then pre-process and save them to the local computer database in structured form. This study not only has a practical significance on the collecting of business information and processing of competitive intelligence, but also provides a great deal of materials for future text mining and early warning.
Keywords :
Internet; Web sites; competitive intelligence; data acquisition; information services; Delphi database technology; Internet; Web site; chaotic information; competitive intelligence; local computer database; network acquisition system design; text mining; Artificial intelligence; Chaos; Competitive intelligence; Computer networks; Computerized monitoring; Databases; Internet; Real time systems; Technological innovation; Web page design; acquisition system; competitive intelligence; web text information;
Conference_Titel :
Dependable, Autonomic and Secure Computing, 2009. DASC '09. Eighth IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-0-7695-3929-4
Electronic_ISBN :
978-1-4244-5421-1
DOI :
10.1109/DASC.2009.61