Qualitative spatial and temporal reasoning (QSTR) is concerned with symbolic knowledge
representation, typically over infinite domains. The motivations for employing QSTR …

Spatial relationships are core components in the design and definition of spatial queries. A
spatial relationship determines how two or more spatial objects are related or connected in …

Representation and reasoning with qualitative spatial relations is an important problem in
artificial intelligence and has wide applications in the fields of geographic information …

Starting with an updated description of Allen's calculus, the book proceeds with a description
of the main qualitative calculi which have been developed over the last two decades. It …

More than 15 years ago, a set of qualitative spatial relations between oriented straight line
segments (dipoles) was suggested by Schlieder. However, it turned out to be difficult to …

We present a formal model for qualitative spatial reasoning with cardinal directions utilizing
a co-ordinate system. Then, we study the problem of checking the consistency of a set of …

Qualitative spatial reasoning (QSR) abstracts metrical details of the physical world. The two
main directions in QSR are topological reasoning about regions and reasoning about …

Driven by deep neural networks (DNN), the recent development of computer vision makes
vision sensors such as stereo cameras and Lidars ubiquitous in autonomous cars, robotics …

Link Discovery is a new research area of the Semantic Web which studies the problem of
finding semantically related entities lying in different knowledge bases. This area has …

Probabilistic logics combine the ability to reason about complex scenes, with a rigorous
approach to uncertainty. This paper explores the construction of probabilistic spatial logics …