A Study on Ontology Learning for the Intelligent Search Engine

Author

Xiao, Ming ; Hu, Jinzhu ; Xiao, Yi

Author_Institution

Dept. of Comput. Sci., Central China Normal Univ., Wuhan

fYear

2007

fDate

21-25 Sept. 2007

Firstpage

5369

Lastpage

5372

Abstract

Intelligent search engine is an effective tool for solving many bottleneck problems in network information retrieval. It involves acquiring, preprocessing, representing and integrating data and information available at different levels of services (e.g. HTML/XML/RDF/OWL etc.) and eventually converts them into useful intelligent semantic information of each domain. This paper proposes firstly a systemic framework for building (semi-)automatically ontology learning from Web pages and considers some key problems about extracting concepts and interrelationships in ontology learning.

Keywords

Internet; Web sites; information retrieval; learning (artificial intelligence); ontologies (artificial intelligence); search engines; Web page; data integration; data preprocessing; data represention; intelligent search engine; intelligent semantic information; network information retrieval; ontology learning; Data mining; HTML; Information retrieval; Intelligent networks; OWL; Ontologies; Resource description framework; Search engines; Web pages; XML;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007. International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-1311-9

Type

conf

DOI

10.1109/WICOM.2007.1315

Filename

4341090