This volume investigates the complex relationship between spatial perception and the language used to describe it. The book addresses the challenges inherent in computationally processing spatial expressions, which require meaning representations capable of distinguishing subtle sense differences and ambiguities rooted in human experience and perceptual structures. It presents a collection of chapters that combine computational and empirical work, reflecting a commitment to developing cognitively informed approaches to spatial language and representation. The work is intended for researchers and practitioners in artificial intelligence, cognitive science, cognitive psychology, and linguistics.

The collection aims to bridge the gap between cognitive understanding and computational modeling of spatial language. By presenting a range of approaches, it seeks to advance the field's ability to process and represent spatial information accurately. The interdisciplinary nature of the contributions suggests a focus on theoretical frameworks and practical applications within artificial intelligence and cognitive science. The volume is positioned to appeal to a specialized audience interested in the intersection of language, perception, and computation.