This book develops, for the first time, a qualitative model for the representation of spatial knowledge based only on locative relations between the objects involved.
The core of this book is devoted to the study of qualitative inference methods that take into account the rich structure of space. These methods can be applied to quite a number of areas characterized by uncertain or incomplete knowledge, as for example geographic information systems, robot control, computer-aided architectural design, and natural language information systems.

Bibliographic Information

Book Title: Qualitative Representation of Spatial Knowledge
Editors: Daniel Hernández
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/BFb0020328
Publisher: Springer Berlin, Heidelberg
eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 1994
Softcover ISBN: 978-3-540-58058-4Published: 28 June 1994
eBook ISBN: 978-3-540-48425-7Published: 13 November 2005
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XII, 208
Topics: Simulation and Modeling, Artificial Intelligence, Computer-Aided Engineering (CAD, CAE) and Design, Geographical Information Systems/Cartography

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