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Nearness Rules and Scaled Proximity

机译:邻近性规则和缩放的接近度

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摘要

An artificial intelligence system that processes geo-thematic data would profit from a (semi-)formal or controlled natural language interface that incorporates concepts for nearness. Though there already exists logical-engineering approaches giving sufficient conditions for nearness relations, we show within a logical analysis that these suffer from some deficiencies. Non-engineering approaches to nearness such as the abstract mathematical approach based on proximity spaces do not deal with the implementation aspects but axiomatically formalize intuitions on nearness relations and provide insights on their nature. Combining the ideas of the engineering approach with the mathematical approach of proximity spaces, we define and analyze new nearness relations that provide a good compromise between implementation needs and the need for an appropriate approximation of the natural nearness concept.
机译:处理地理主题数据的人工智能系统将从(半)正式的或受控的自然语言界面(结合了邻近性概念)中受益。尽管已经存在为邻近关系提供足够条件的逻辑工程方法,但我们在逻辑分析中表明这些方法存在某些缺陷。非工程性的接近性方法(例如基于接近性空间的抽象数学方法)不处理实现方面,而是根据公理形式化对接近性关系的直觉,并提供有关其性质的见解。将工程方法的思想与邻近空间的数学方法相结合,我们定义并分析了新的邻近关系,这些关系在实现需求和对自然邻近概念的适当近似的需求之间取得了很好的折衷。

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