An Auto-reasoning Model of Marketing Strategies based on Semantic Web

摘要：

This paper analyzes auto-reasoning mechanism of marketing strategies based on ontology and rules. The domain knowledge is researched for different marketing strategies and analytic approach. With an example of enterprise, the ontology is proposed and described in detail. Association rule is used to mining rules of strategies, and create the rules file. On that basis, an auto-reasoning process of marketing strategies is described. Because the ontology is standard, explicit and formalized description for shared conceptual model, the automation and Intelligent of enterprise marketing can be realized by applying semantic express, shared knowledge described by ontology and auto-reasoning mechanism.

关键词： marketing reasoning ontology rule semantic

作者: LuYiqing Liu Lu Li Chen

作者单位: Sch.Of Ecomomic & Management, Beihang University, Beijing, P.R.China, 100083 Sch.Of Information Mana Sch.Of Ecomomic & Management, Beihang University, Beijing, P.R.China, 100083 Sch.Of Information Management, Beijing Information Science and Technology University, Beijing, P.R.C

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 515-518

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）