Aggnel: An Information Aggregation System of Partial Contents from Multiple Web Pages
Yuichiro Tasaki, Tomohiro Fukuhara, Tetsuji Satoh · 2012
An information aggregation system that captures partial contents of a Web page across multiple Web pages is described. When we search on the Web, we often bookmark or print out Web pages. These kinds of actions are especially needed in order to survey a research field, or when we write a report on a topic. Current search engines do not support these activities, they only return whole Web pages. For facilitating a survey or writing a report, we need partial contents of a Web page which contains key information. In this paper, we propose an information aggregation method that extracts partial contents of a Web page. The proposed system called Aggnel is implemented as prototype system which aggregates partial contents from multiple Web pages. The effectiveness of proposed method is evaluated by experiment, so that it is concluded that users were able to aggregate key information.