Collaborative knowledge capture in ontologies
Collaborative knowledge capture in ontologies
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本体中的协作知识捕获
DOI：
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发表时间：
2005
期刊：
影响因子：
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通讯作者：
Dmitri Bobrovnikoff
中科院分区：
文献类型：
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作者：
P. Hayes;T. Eskridge;Raul Saavedra;T. Reichherzer;M. Mehrotra;Dmitri Bobrovnikoff
本文描述了一个新的环境，即COE，用于捕获和正式表示用于语义Web的专家知识。COE利用了CmapTools概念映射系统的易用性和快速知识构建功能，并对其进行了扩展，以支持跨多个本体导入和导出正式的、机器可解释的知识表示（如OWL）。Pragati的ExpozT工具套件通过提供基于集群的搜索功能来补充COE的本体构建、浏览和导航功能，这些功能可以公开与用户关注的焦点相关的现有可重用概念。
This paper describes a new environment, COE, for capturing and formally representing expert knowledge for use in the Semantic Web. COE exploits the ease of use and rapid knowledge construction capabilities of the CmapTools concept mapping system and extends them to support the import and export of formal, machine-interpretable knowledge representations, such as OWL, across multiple ontologies. Pragati's ExpozT tool suite complements COE's ontology construction, browsing and navigation features by providing cluster-based search capabilities that expose existing reusable concepts relevant to the user's focus of attention.