Product ontology learning from web pages

In recent years, ontology is increasingly applied to e-commerce applications to promote automatic and intelligent level. But most ontology is manually generated by domain experts. Manually constructed ontology is time-consuming and error-prone. In order to increase the efficiency of product ontology construction, this paper presents a semi-automatic multi-strategy approach of product ontology learning from websites of e-marketplaces or enterprise portals and the total process of ontology construction is defined. The major idea of our methodology is to exploit web page Structure mining techniques and semantic analysis method to learn concepts and taxonomic relations. The proposed approach Could increase the efficiency of product ontology construction.