Introduction

In the domain of qualitative reasoning, a subfield of AI which has evolved in the last 25 years, a large number of calculi for efficient reasoning about spatial and temporal entities have been developed. Qualitative reasoning aims at describing the common-sense background knowledge on which our human perspective on the physical reality is based. The calculi, that is, formal languages and reasoning techniques, developed in this research area are of special interest for all application fields that rely on human-machine interaction in static or dynamically changing spatial environments.

The workshop will provide a forum for researchers from different subfields of AI research (including Qualitative Reasoning, Logic, Constraint Solving, Computational Linguistics, and Ontologies) to discuss the challenges and open problems within qualitative spatial reasoning, particularly with respect to the integration and possible application of these calculi.