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Automated deduction techniques for subsumption checking in concept languages

机译:用于概念语言中的归类检查的自动演绎技术

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Mechanical theorem provers are becoming increasingly more powerful, and we believe that it is time to re-examine whether certain tasks that have formerly been accomplished by other means, can now be performed by a theorem prover. One such task is subsumption determination in knowledge representation systems. Terminological Knowledge Representation Systems (or Concept Languages) provide a means for expressing knowledge in the form of concepts and roles. Checking subsumptions between concepts is an important reasoning faculty offered by these systems. In this paper, we examine the subsumption checking performance of a first-order theorem prover coupled with a finite-model finder. This is a complete reasoning system, as concept languages have the finite-model property. We show that this is an efficient reasoning system by means of tests used by [5] to compare concept languages systems.
机译:机械定理证明者正变得越来越强大,我们认为现在应该重新检查以前由其他方法完成的某些任务现在是否可以由定理证明者来执行。这样的任务之一是知识表示系统中的归类确定。术语知识表示系统(或概念语言)提供了一种以概念和角色形式表达知识的方法。检查概念之间的包含是这些系统提供的重要推理能力。在本文中,我们研究了一阶定理证明者与有限模型查找器的隶属检查性能。这是一个完整的推理系统,因为概念语言具有有限模型属性。通过[5]用来比较概念语言系统的测试,我们证明了这是一个有效的推理系统。

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