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  • 學位論文

以自動化方式監測網站生態系統

Automatically Monitoring the Business Ecosystem of Internet Web Sites

指導教授 : 林福仁
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摘要


The volatile survival of Internet web sites from the market competition makes us hard to constantly characterize the resulting complicated business ecosystem. The collaboration and competition among Internet business players create a business ecosystem with complex relationships, which need an unobvious way to monitor and understand their development. This thesis proposes an automated monitoring system to monitor the complicated and evolutionary business ecosystem of Internet web sites by observing web site traffic, news and blog articles. In quantitative way, the system automatically detects the potential emerging web sites and determines whether theses web sites flourish continually. In qualitative way, the system extracts multiple relations such as collaborate and compete among business ecosystem of Internet web sites from news articles. The applications of the proposed system helps companies identify emerging web sites when they tend to monitor potential competitors or look for collaborators in real time. Besides, multiple relations of the business ecosystem can help experts identify important roles playing in the Internet web business ecosystem. To reduce the monitoring cost of companies, the system can filter unrelated information on Internet and effectively catch the information related to the evolution of business ecosystem for Internet web sites in real time.

並列摘要


參考文獻


Adomavicius, G., Bockstedt, J.C., Gupta, A., and Kauffman, R.J. "Technology roles and paths of influence in an ecosystem model of technology evolution," Information Technology and Management (8:2) 2007, pp 185-202.
Appelt, D.E., and Israel, D. "Introduction to Information Extraction Technology. A tutorial prepared for IJCAI-99," Artificial Intelligence Center, SRI International) 1999.
Cunningham, H. "Information Extraction, Automatic," Encyclopedia of Language and Linguistics) 2005.
Grishman, R. "Information Extraction: Techniques and Challenges," Information Extraction (International Summer School SCIE-97)) 1997.
Kongthon, A. "A Text Mining Framework for Discovering Technological Intelligence to Support Science and Technology Management," 2004.

被引用紀錄


陳聖芳(2010)。就業服務專業人員職能之研究〔碩士論文,大葉大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0072-2901201009281000

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