本体支持下的企业数据模型构建

为解决企业级建模缺乏标准稳定的数据环境的问题,该文根据本体论思想、统一建模语言(UM L)和关系数据模型三者间的一致性,提出了本体支持下的企业数据模型构建方法。划分了三类本体,形成了需求分析的新框架;本体中六元组定义和情景演算方法首先从概念语义层面上分静态和动态建立了企业领域中的概念模型,奠定了逻辑基础;借助UM L及其建模工具进行图形化的直观表达,获得业务逻辑模型,并易于转换为面向关系数据库的数据模型。此外,该文同时应用本体的求解过程对模型的评价和维护作了尝试。

Building-up of an enterprise data model supported by ontology

Because of the lack of standard and stable data environment at enterprise level,the building-up of enterprise data models supported by ontology was put forward.According to the consistency among ontology,unified modeling language(UML),and the data model for relational database,three types of ontology are identified and a new framework to make requirements analyses is presented.The methods of hexahydric definition of ontology and situation calculus help to capture the entities and associations conceptually and semantically in the enterprise static and dynamic domains,and also have laid a logical foundation of knowledge for the share and reuse of models.Then the UML and its modeling tool strengthen the concepts graphically and also facilitate converting the concept and business model to database-oriented data model.Meanwhile,the process of acquiring application ontology is a try to evaluate and maintain the models.