SWARMS: A Tool for Exploring Domain Knowledge on Semantic Web

Liang Bangyong, Tang Jie, Wu Gang, Zhang Peng, Zhang Kuo, Xu Hui, Zhang Po, Yan Xuedong, and Li Juanzi

This paper introduces SWARMS, a tool for exploring domain knowledge in semantic web. By domain knowledge exploration, we mean searching for or navigating the knowledge in a specific domain. We have found, through an analysis of survey result and an analysis of using log data, that requirements for domain knowledge exploration can be grouped into three categories. The categories include knowledge search, schema based navigation, and search results analysis. Traditional methods usually focus on one of the three types, for example, retrieval of relevant knowledge by exploiting full-text retrieval methods. We propose a tool, called SWARMS, for exploring domain knowledge, in which we provide the ability to conduct domain knowledge exploration by the three categories. Specifically, users can conduct search for special kind of knowledge and they can also interact with the tool by navigating the knowledge base. Furthermore, we conduct analysis for the search or navigation results. The tool is applied to the software management domain. We use ontology as the mean for knowledge representation. The paper describes the architecture, features, and component technologies of the tool.


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