摘要： 针对大多数本体构建工具只支持手工构建，造成本体构建效率极低、工作量大、容易出错、知识的动态及时更新和维护困难等问题，提出一种领域本体自动构建的框架系统，通过对企业已有数据库及相关领域中大量的知识进行本体学习，实现配置领域本体自动(或半自动)构建，给出不同数据源结构中的本体概念抽取、概念间语义关系抽取等关键技术。

关键词: 产品配置, 本体学习, 概念, 关系

Abstract: Most ontology building tools only support manual building ontology, which results in low efficiencies, highly workloads and many mistakes etc, And it is very difficult for knowledge updating and maintenance in time. In order to resolve the problem, a framework system of domain ontology automatic construction is proposed. Through ontology learning by using existed enterprise database and vast interrelated domain knowledge in Website, product configuration domain ontology is established. Key technologies of ontology learning are discussed such as domain concepts extraction and semantic relationships between concepts extraction in different data sources structures.

Key words: product configuration, ontology learning, conception, relation

中图分类号: 

• TP391