Title: Domain ontology and semantic web applications for study of web competitive intelligence analysis system

Authors: Chunnian Liu; Dehui Yang; Yonglong Wang

Addresses: Department of Information Management, Nanchang University, Nanchang, Jiangxi 330031, China. ' Department of Information Management, Nanchang University, Nanchang, Jiangxi 330031, China. ' Department of Information Management, Nanchang University, Nanchang, Jiangxi 330031, China

Abstract: Competitive intelligence can be considered as an analytical process that transforms tumultuously gathered competitor and market information into actionable knowledge about competitors| capabilities, intentions, performance, and position. Most of the intelligence resources are on the web, so it is very important to describe the semantic meaning of the web resources. In this article, we use the XML, RDF and ontology on the semantic web to describe the intelligence resources. Besides, we build competitive intelligence domain ontology, which is the precondition of the construction of the competitive intelligence analysis system. In this paper, model architecture of competitive intelligence analysis system is proposed, which consists of several modules, such as semantic content analysis, and intelligence retrieving, and so on. The competitive intelligence analysis system can assist business executives making decisions and developing enterprise development strategies.

Keywords: domain ontology; semantic web; competitive intelligence; web science; business intelligence; XML; RDF.

DOI: 10.1504/IJWS.2011.044083

International Journal of Web Science, 2011 Vol.1 No.1/2, pp.99 - 113

Published online: 28 Mar 2015 *

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