A Foundation for Knowledge System with Application in Information Retrieval and Knowledge Acquisition

被引：0
作者：
Teng, Zhi [1 ]
Liu, Ye [1 ]
Ren, Fuji [1 ]
机构：
[1] Univ Tokushima, Fac Engn, Tokushima 770, Japan
来源：
IEEE NLP-KE 2008: PROCEEDINGS OF INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING AND KNOWLEDGE ENGINEERING | 2008年
关键词：
Tracking; knowledge system; self sufficient system; information retrieval; knowledge acquisition;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
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 anti 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 anti 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.
引用
收藏
页码：15 / 21
页数：7
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