Qualitative Spatial Representation for the Humanities

Qualitative Spatial Representation and Reasoning

The need for spatial representations and spatial reasoning is ubiquitous in AI – from robot planning and navigation, to interpreting visual inputs, to understanding natural language – in all these cases the need to represent and reason about spatial aspects of the world is of key importance. Related fields of research, such as geographic information science (GIScience) [71], have also driven th...

Qualitative Spatial Representation Languages with Convexity

Qualitative Spatial Representation and Reasoning: An Overview

Qualitative Spatial Representation and Reasoning Techniques

The eld of Qualitative Spatial Reasoning is now an active research area in its own right within AI (and also in Geographical Information Systems) having grown out of earlier work in philosophical logic and more general Qualitative Reasoning in AI. In this paper (which is an updated version of 25]) I will survey the state of the art in Qualitative Spatial Reasoning, covering representation and r...

Qualitative Spatial Representation for Information Retrieval by Gazetteers

Intelligent and efficient information retrieval becomes increasingly important. Analogous to thesauri in the realm of spatial concepts, gazetteers offer a controlled vocabulary that can be used for spatial queries. Gazetteers use geographic footprints to link place names to geographic locations. Which geographic footprint representation is chosen has a strong impact on the quality of spatial qu...