Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.3/94938

Title

Knowledge discovery in SportsFinder: an agent to extract sports results from the Web

Author(s)

Lu, Hongen;  Sterling, Leon;  Wyatt, Alex

Abstract

There is a wealth of information to be mined from the World Wide Web. Unfortunately, standard natural language processing (NLP) extraction techniques perform poorly on the choppy, semi-structured information fragments, such as sports results, which are popular to be published on the Web pages nowadays. In this paper, we present an information agent: SportsFinder, an agent to extract sports scores from the World Wide Web, as well as the knowledge discovering method to learn new express patterns to improve the agent's performance.

Publication type

Conference paper

Source

Lecture notes in computer science: proceedings of the 3rd Pacific-Asia Conference on Methodologies for Knowledge Discovery and Data Mining (PAKDD-99), Beijing, China, 26-28 April 1999 / Ning Zhong and Lizhu Zhou (eds.), Vol. 1574, pp. 469-473

Publication year

1999

FOR Code(s)

0804 Data Format

Keyword(s)

Information agents;  Internet;  Knowledge discovering methods;  Sports results;  SportsFinder

Publisher

Springer-Verlag

ISBN

9783540658665, 3540658661

Publisher URL

http://dx.doi.org/10.1007/3-540-48912-6_62

Copyright

Copyright © 1999 Springer-Verlag Berlin Heidelberg.

Peer reviewed