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首页> 外文会议>Pacific Symposium on Biocomputing 2004; Jan 6-10, 2004; Hawaii, USA >DEFAULTS, CONTEXT, AND KNOWLEDGE: ALTERNATIVES FOR OWL-INDEXED KNOWLEDGE BASES
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DEFAULTS, CONTEXT, AND KNOWLEDGE: ALTERNATIVES FOR OWL-INDEXED KNOWLEDGE BASES

机译：缺省，上下文和知识：面向猫头鹰的知识库的替代方案

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摘要

The new Web Ontology Language (OWL) and its Description Logic compatible sublanguage (OWL-DL) explicitly exclude defaults and exceptions, as do all logic based formalisms for ontologies. However, many biomedical applications appear to require default reasoning, at least if they are to be engineered in a maintainable way. Default reasoning has always been one of the great strengths of Frame systems such as Protege. Resolving this conflict requires analysis of the different uses for defaults and exceptions. In some cases, alternatives can be provided within the OWL framework; in others, it appears that hybrid reasoning about a knowledge base of contingent facts built around the core ontology is necessary. Trade-offs include both human factors and the scaling of computational performance. The analysis presented here is based on the OpenGALEN experience with large scale ontologies using a formalism, GRAIL, which explicitly incorporates constructs for hybrid reasoning, numerous experiments with OWL, and initial work on combining OWL and Protege.
机译：新的Web本体语言（OWL）及其与描述逻辑兼容的子语言（OWL-DL）明确排除了默认和例外，所有基于逻辑的本体形式主义也是如此。但是，许多生物医学应用程序似乎需要默认推理，至少要以可维护的方式对其进行设计时即可。默认推理一直是诸如Protege之类的Frame系统的强大优势之一。解决此冲突需要分析默认值和例外的不同用途。在某些情况下，可以在OWL框架内提供替代方案；在另一些情况下，似乎需要围绕核心本体建立关于偶然事实的知识库的混合推理。权衡包括人为因素和计算性能的扩展。此处提供的分析是基于OpenGALEN的经验，他具有使用形式主义GRAIL进行的大规模本体构建的经验，该体系结构明确包含了混合推理的构造，OWL的大量实验以及将OWL和Pr​​otege结合在一起的初步工作。

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