READING: A Self Sufficient Internet News System with Applications in Information and Knowledge Mining

Author

Bracewell, David B. ; Ren, Fuji ; Hisazumi, Katsutoshi ; Teng, Zhi ; Furose, Yuichi ; Kuroiwa, Shingo

Author_Institution

Dept. of Inf. Sci. & Intell. Syst., Tokushima Univ., Tokushima

fYear

2007

fDate

Aug. 30 2007-Sept. 1 2007

Firstpage

190

Lastpage

196

Abstract

This paper presents the READING (retrieving news around the world for discovery and knowledge mining) system, which is a self sufficient system for aggregating and classifying news from around the world with a focus on Asia. 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. Average users, news professionals and researchers alike will find that the system offers something for them. This paper focuses on the underlying algorithms in the system and how they interact in creating the overall system.

Keywords

Internet; classification; data mining; information retrieval; Internet news system; READING; information mining; knowledge mining; news classification; news retrieval; Asia; Decision making; Explosions; Information science; Intelligent systems; Internet; Knowledge engineering; Knowledge management; Project management; Resource management;

fLanguage

English

Publisher

ieee

Conference_Titel

Natural Language Processing and Knowledge Engineering, 2007. NLP-KE 2007. International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-1610-3

Electronic_ISBN

978-1-4244-1611-0

Type

conf

DOI

10.1109/NLPKE.2007.4368032

Filename

4368032