A Study on Ontology Learning for the Intelligent Search Engine

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.