On applying inductive logic programming to the Web

Author

Huang, Jiajin ; Liu, Chunnian ; Qiu, Dejun

Author_Institution

Multimedia & Intelligent Software Technol., Beijing Univ. of Technol., China

fYear

2005

fDate

19-21 May 2005

Firstpage

335

Lastpage

338

Abstract

The Web has become an extremely large source of information and also a platform of various e-service including e-business, e-science, e-learning, e-government, etc. How to develop the new technology to discover useful knowledge from Web-based data is one of the challenges in the area of Web Intelligence. Inductive logic programming is the field defined as the intersection of machine learning and logic programming. Two strengths of inductive logic programming, namely, the expressive representation formalism and the use of background knowledge make it suitable to deal with Web-based data and then find useful rules for various applications for Web intelligence. This paper provides an overview on the recent various applications of inductive logic programming for Web intelligence.

Keywords

Internet; data mining; inductive logic programming; learning (artificial intelligence); Web intelligence; e-service; inductive logic programming; knowledge discovery; machine learning; Artificial intelligence; Computer science; Educational institutions; Electronic government; Electronic learning; Information technology; Laboratories; Learning systems; Logic programming; Machine learning;

fLanguage

English

Publisher

ieee

Conference_Titel

Active Media Technology, 2005. (AMT 2005). Proceedings of the 2005 International Conference on

Print_ISBN

0-7803-9035-0

Type

conf

DOI

10.1109/AMT.2005.1505364

Filename

1505364