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首页> 外文会议>International Conference on Principles of Knowledge Representation and Reasoning(KRamp;R); 20060602-05; Lake District of the United Kingdom(GB) >Variable-Strength Conditional Preferences for Matchmaking in Description Logics
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Variable-Strength Conditional Preferences for Matchmaking in Description Logics

机译：描述逻辑中匹配的可变强度条件首选项

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摘要

We present an approach to variable-strength conditional preferences for matchmaking and ranking objects in description logics. In detail, we introduce conditional preference bases, which consist of a description logic knowledge base and a finite set of variable-strength conditional preferences, and which are associated with a formal semantics based on ranking functions. We then define the notions of consistency and preferential entailment for conditional preference bases, which strictly generalize ε-consistency and entailment in System Z~+ in default reasoning from conditional knowledge bases, respectively. We also describe some semantic properties of preferential entailment. We then show how preferential entailment can be used to define a distance measure between two conditional preference bases. We also define functions for ranking objects relative to a conditional preference base, and we describe an application in the area of literature search. Finally, we provide algorithms for solving the main computational tasks related to conditional preference bases.
机译：我们为描述匹配中的匹配和排序对象提出了可变强度条件偏好的方法。详细地，我们介绍条件偏好库，它由描述逻辑知识库和可变强度条件偏好的有限集合组成，并与基于排名函数的形式语义相关联。然后，我们为条件偏好库定义了一致性和优先蕴涵的概念，它们分别严格地从条件知识库中概括了默认推理中系统Z〜+中的ε-一致性和蕴涵。我们还描述了优先包含的一些语义属性。然后，我们说明如何使用优先蕴含来定义两个条件偏好库之间的距离度量。我们还定义了用于相对于条件偏好库对对象进行排名的函数，并描述了文献搜索领域的应用。最后，我们提供了用于解决与条件偏好库有关的主要计算任务的算法。

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