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Integrating Graded Knowledge and Temporal Change in a Modal Fragment of OWL

机译:在猫头鹰的模态片段中整合分级知识和时间变化

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Natural language statements uttered in diagnosis, but more general in daily life are usually graded, i.e., are associated with a degree of uncertainty about the validity of an assessment and is often expressed through specific words in natural language. In this paper, we look into a representation of such graded statements by presenting a simple non-standard modal logic which comes with a set of modal operators, directly associated with the words indicating the uncertainty and interpreted through confidence intervals in the model theory. We complement the model theory by a set of RDFS-/OWL 2 RL-like entailment (if-then) rules, acting on the syntactic representation of modalized statements. After that, we extend the modal statements by transaction time, in order to implement a notion of temporal change. Our interest in such a formalization is related to the use of OWL as the de facto language in today's ontologies and its weakness to represent and reason about assertional knowledge that is uncertain and that changes over time.
机译:在诊断中发出的自然语言陈述,但日常生活中的更一般性通常是分级,即,与评估的有效性有关的程度,通常通过自然语言的特定词语表达。在本文中,我们通过呈现具有一组模态运算符的简单非标准模态逻辑来研究这种分级语句的表示,该模态运算符与指示不确定性的单词直接相关联,并通过模型理论中的置信区间解释。我们通过一套RDFS-/ OWL 2 RL-like entailment(if-dhat)规则来补充模型理论,以适应模态陈述的句法表示。之后,我们通过交易时间扩展模态语句,以实现时间变化的概念。我们对如此形式化的兴趣与猫头鹰在今天的本体中的使用和弱点所用的弱点有关,而是对不确定和随着时间的推移而改变的理由。

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