Title :
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
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;
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-1311-9
DOI :
10.1109/WICOM.2007.1315
