标题: Ontology-based knowledge extraction - A case study of software development
作者: Chen, Ruey-Shun
Chang, Chan-Chine
Chi, Isabel
资讯管理与财务金融系
注:原资管所+财金所

Department of Information Management and Finance
关键字: ontology;system analysis;military;application;knowledge extraction
公开日期: 2006
摘要: It is very important that construct a common library from the software development process in a standard analysis pattern. Reusing analysis knowledge in the same domain and the common library can help to build up high-quality applications in limited developing time. System analysis patterns enable a software application to model a specific problem by representing some domain classes and their relationships as modeling components. In this paper, a conceptual model was developed that emphasized the role of analysis pattern and domain library for application with ontology including domain model and dynamic characteristics of classes in tree maps. The result shows two conclusions were derived: first, less development and requirement changes the process costs with common library in ontology and we easy to search and reuse the library components. The second, it is more highly user satisfaction due to the system flexibility and more patients were paid for requirement changes.
URI: http://hdl.handle.net/11536/17403
ISBN: 0-7695-2611-X
期刊: SNPD 2006: Seventh ACIS International Conference on Software Engineering Artificial Intelligence, Networking, and Parallel/Distributed Computing, Proceedings
起始页: 91
结束页: 96
显示于类别:Conferences Paper