Commonsense reasoning is in principle a central problem in artificial intelligence, but it is a
very difficult one. One approach that has been pursued since the earliest days of the field …

People use verbal descriptions to communicate spatial information, externalising relevant
parts of their mental spatial representations. In many situations, such as emergency …

In this paper, we focus on a recently introduced problem in the context of spatial and
temporal qualitative reasoning, called the MAX-QCN problem. This problem involves …

Abstract The Interval Algebra (IA) and a subset of the Region Connection Calculus (RCC),
namely RCC-8, are the dominant Artificial Intelligence approaches for representing and …

Applications of smart environments are ever-increasing due to their possibilities of
contributing towards an independent and active lifestyle for different user groups. An …

People often use qualitative relations to describe locations or directional information,
especially in written communication, such as 'the restaurant is located at the southeast …

We improve the state-of-the-art method for checking the consistency of large qualitative
spatial networks that appear in the Web of Data by exploiting the scale-free-like structure …

This paper tackles the problem of evaluating the degree of inconsistency in spatial and
temporal qualitative reasoning. We first introduce postulates to propose a formal framework …

We survey the use and effect of decomposition-based techniques in qualitative spatial and
temporal constraint-based reasoning, and clarify the notions of a tree decomposition, a …

We improve the state-of-the-art method for checking the consistency of large qualitative
spatial networks that appear in the Web of Data by exploiting the scale-free-like structure …