Model-Driven Ontology Engineering

W3C's Semantic Web provides a common framework that allows data to be shared and reused across application and enterprise. As the Semantic Web shapes the future of the Web, it becomes more and more important in software engineering and enterprise application development. While existing ontology engineering tools provide a stack of ontology management support and are used successfully in certain domains, there still remains a gap between the ontology engineering tools and the traditional software engineering. For several decades, software engineering has been established on different modeling languages and methodologies such as Unified Modeling Language (UML). The differences in modeling languages and methodologies cause difficulties in enterprise application development involving the Semantic Web technologies. The existing ontology engineering tools provide only an ad hoc approach to bridging this gap with limited functionality and performance. The primary objective of our work is...

• Type: Journal
• Year: 2006
• Where: JODS
• Authors: Yue Pan, Guo Tong Xie, Li Ma, Yang Yang, Zhaoming Qiu, Juhnyoung Lee
• Keywords: Data Mining, JODS 2006, Ontology Engineering Tool, Semantic Web, Software Engineering