Qualitative spatial information plays a key role in many applications. While it is well-
recognized that all but a few of these applications deal with spatial information that is …

Various intelligent systems rely heavily on formalisms for spatial representation and
reasoning. However, it is widely recognized that real-world regions are seldom …

Although the region connection calculus (RCC) offers an appealing framework for modelling
topological relations, its application in real-world scenarios is hampered when spatial …

One of the key strengths of the region connection calculus (RCC)–its generality–is also one
of its most important drawbacks for practical applications. The semantics of all the …

Abstract Reasoning about geographic regions, like forests, lakes, cities, etc., often involves
uncertainty and imprecision. For example, when we talk about a region like the city of …

Abstract Anthony G Cohn & Nicholas Mark Gotts Division of Artificial Intelligence School of
Computer Studies. University of Leeds, Leeds LS2 9JT, UK Telephone:+ 44-113-233-6806 …

A significant part of real-world spatial information is affected by vagueness. For example,
boundaries of non-administrative geographical regions tend to be ill-defined, while …

Abstract Reasoning about space plays an essential role in many cultures. Not only is space,
like time, one of the most fundamental categories of human cognition, but also does it …

Spatial reasoning is crucial in many AI application domains, such as robotics, qualitative and
naive physics, and some types of planning. Qualitative reasoning is often required; and in …

This paper presents a geometric characterization of geographic objects with vague
boundaries. Since the framework is based on ordering geometry and does not rely on …