Web-based General Ontology Learning Framework
Baisong Liu · Jisuanji gongcheng · 2008
This paper proposes a General Ontology Learning Framework(GOLF),dicusses the key technologies of ontology learning such as domain concepts extraction,semantic relationships between concepts and taxonomy automatic construction and ontology evaluation methods.By integrating many machine learning algorithms,this approach suffers less ambiguity and can identify domain concepts and relations more accurately.By using generalized corpus WordNet and HowNet,the method is applicable across different domains.By obtaining source documents from the Web on demand,the method can produce up-to-date ontologies.