摘要
Taking the knowledge-intensive characteristics of governmental processes into account, an approach to analyzing, extracting and modeling e-government ontology by using both the IDEF5 ontology capture method and the web ontology language （OWL）, is presented. First, both knowledge-intensive activities and knowledge items can be identified by the analysis of governmental processes. Secondly, the IDEF5 ontology capture method is utilized to extract concepts, terms and statements from these knowledge items, which act as a starting point for ontology refinement and validation. To describe precisely the semantics of the ontologies, the OWL language is employed in our project to formally model these e-government ontologies with the help of Prot6ge-OWL tools. Finally, a case study about applying for social security cards （SSCs） in Shanghai local government is illustrated to demonstrate the effectiveness of the presented approach.
针对电子政务流程的知识密集型特点,提出一个采用IDEF5本体获取方法和OWL语言来分析、抽取和建模电子政务领域本体的途径.首先,通过对电子政务流程的分析,能够识别知识密集型活动和知识项.然后,应用IDEF5本体获取所识别的知识项中抽取电子政务领域概念、术语,从而作为精化和验证领域本体的基础.并采用了OWL来形式化表示这些领域本体,从而使其具有良好定义的描述逻辑语义.最后,以上海市政府的社会保障卡申请流程为例,论证了所提方法的有效性.
基金
The National Natural Science Foundation of China(No.70471023).
