A Foundation for Knowledge System with Application in Information Retrieval and Knowledge Acquisition
In this paper we present a knowledge system, which is a self sufficient system for aggregating, extraction and classifying news from around the world. This paper present some algorithms for monitoring and gathering news from RSS and websites, creating special domain corpora. The system, however, goes beyond the traditional news aggregation sites by mining information and knowledge from the news articles to aid in such tasks as decision making. The system is able to collect, classify and mine knowledge automatically without the need for an editor or intervention by an administrator. As knowledge system, average users, news professionals and researchers alike will find that the system offers something for them. Our work shows that better performance is achieved and the result showed that this method has potential in this field.
Tracking knowledge system self sufficient system information retrieval knowledge acquisition
Zhi Teng Ye Liu Fuji Ren
Faculty of Engineering,The University of Tokushima Tokushima,Japan Faculty of Engineering,The University of Tokushima Tokushima,Japan School of Information Engineering
国际会议
北京
英文
2008-10-19（万方平台首次上网日期，不代表论文的发表时间）