Reference to space, especially with prepositions, plays a central role in natural language and is receiving more and more attention over the past decades. One line of research uses formal semantic modeling, using topological and other geometrical concepts such as regions, vectors, and paths. Another line of research has drawn attention to the role of function, force-dynamics, polysemy, prototypes, and crosslinguistic variation in this domain. This paper gives an overview of both lines of research and argues that a synthesis is possible, based on a proper division of labor between semantics and pragmatics, richer ontologies, and a perspective on categorization that uses conceptual spaces and semantic maps.

中文翻译：

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空间语义：对介词的意义进行建模

提及空间，尤其是介词，在自然语言中起着核心作用，并且在过去几十年中受到越来越多的关注。一项研究使用形式语义建模，使用拓扑和其他几何概念，例如区域，向量和路径。另一研究领域已引起人们对功能，力动力学，多义性，原型和跨语言变异在此​​领域中的作用的关注。本文概述了这两个方面的研究，并指出，基于语义和语用学之间的适当分工，更丰富的本体以及使用概念空间和语义图进行分类的观点，综合是可能的。