Websites infringement detection based on similarity measurement

• Main Authors: Chih-hsuan Shih, 施誌軒
• Other Authors: Dong-Her Shih
• Format: Others
• Language: en_US
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/42547073092791037874

碩士 === 國立雲林科技大學 === 資訊管理系碩士班 === 101 === With the commercialization of the Internet, more and more enterprises view their websites as assets and limit the use of websites permission. The web is the most common form of copyright infringement in the modern society. Hence, website infringement has become a serious issue we need to face. The images and content on website''s can easily be taken without the consent of the owner. The websites copyright infringement cases increasing recently. But it is difficult to determine what constitutes infringement for judges. In this paper, we try to use different methods to solve the problem of how to determine the websites infringement and to assist judges to judge whether website s copyright infringement or not. The experiment result shows that our method 6 with Pareto principle has better results with similarity software.