An Ontology Learning Method for Product Configuration Domain

Ontology learning, which seeks to discover ontological knowledge from various forms of data automatically or semiautomatically, can overcome the bottleneck of ontology acquisition in ontology development. Now most of existed ontology construction tools only support manual building ontology and it results in lowly efficiencies, highly workloads and many mistakes etc. At the same time, it´s very difficult for knowledge updating and maintenance in time. In order to resolve these problems, a framework system of domain ontology automatic construction is proposed in this paper. Through ontology learning by using existed enterprise database and huge interrelated domain knowledge in Website, product configuration domain ontology is established. Key technologies of ontology learning, such as domain concepts extraction and semantic relationships between concepts extraction in different data sources structures, are discussed.