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

Qualitative reasoning is an approach for dealing with commonsense knowledge without
using numerical computation. Instead, one tries to represent knowledge using a limited …

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 …

Spatial relationship between objects in an image can help to gain a deep understanding of
the image. At present, spatial relationship recognition has received more and more …

Interpreting Motion presents an integrated perspective on how language structures constrain
concepts of motion and how the world shapes the way motion is linguistically expressed …

Representing dynamic information in the form of ontologies, as well as querying and
reasoning over static and dynamic ontologies are the areas of interest in this work. Building …

Qualitative spatial and temporal reasoning is based on so-called qualitative calculi.
Algebraic properties of these calculi have several implications on reasoning algorithms. But …

Increasing the expressiveness of qualitative spatial calculi is an essential step towards
meeting the requirements of applications. This can be achieved by combining existing …

Direction relations between extended spatial objects are important commonsense
knowledge. Recently, Goyal and Egenhofer proposed a relation model, known as the …