Using Ontological Technologies to Develop a Competitive Intelligence System: News Dispatching of Supply Chains

• Main Authors: Chien-Hung Lin, 林建宏
• Other Authors: Yu-Liang Chi
• Format: Others
• Language: zh-TW
• Published: 2008
• Online Access: http://ndltd.ncl.edu.tw/handle/69149822916770867999

碩士 === 中原大學 === 資訊管理研究所 === 96 === Competitive Intelligence is a legal way to collect data from competitors and businesses. Whereby, it helps to analysis businesses’ situation and future tendency, and provides reference resources when makes a decision. Due to the competitive presuppositions of globalization, divisions of labor, and developmental communications, it’s one of the most important issues how businesses deal with information immediately. According to the above problems, we conduct an aim at collecting real-time news. After analysis the main implications of news as presumptive classifications, then assign to the group of competitors. Three main designs include: (1) Classification of news, using text analysis to generalize the main idea of news. (2) Association of supply chain members, developing ontology to hold opposite members’ dynamic change. (3) Assignment of news, developing inference rules to establish the relation between news and competitors. In order to test and verify the efficiency of research designs, we handle RSS news and choose electronics as experiment. During the experiment: the base of knowledge-based competitive intelligence system can adjust the supply chain structure more flexible, react to the change of supply chain members and response to the assignment of news further. This study has designed generalization competitive intelligence models that apply to the assignment of news more empirical by increase special domain news and factual data to help businesses collect data of external environment.