Representation and Processing of Spatial Expressions

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Acceptance Volumes
Anytime Algorithms
Category=JMR
Category=UBJ
Category=UBL
Category=UY
cognitive spatial reasoning
computational models of spatial language
entries
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eq_computing
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eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
form
geographic information systems
IL Form
Interval Algebra
Intrinsic Computation
Intrinsic Front
lexical
Lexical Entry
Locative Expressions
machine translation applications
mental imagery modeling
MT System
natural language interfaces
Object's Bounding Box
Object's Principal Axes
objects
Object’s Bounding Box
Object’s Principal Axes
Pairwise Means
prepositions
Qualitative Spatial Information
Query Point
reference
Reference Frames
Reference Objects
relations
relationships
Roundabout
Route Description
Saccade Latency
scene
SFB
spatial cognition research
Spatial Expressions
Spatial Framework Analysis
Spatial Prepositions
specific
Specific Object Knowledge
Vice Versa

Product details

  • ISBN 9781138012394
  • Weight: 476g
  • Dimensions: 152 x 229mm
  • Publication Date: 08 Jun 2015
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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Coping with spatial expressions in a plausible manner is a crucial problem in a number of research fields, specifically cognitive science, artificial intelligence, psychology, and linguistics. This volume contains a set of theoretical analyses as well as accounts of applications which deal with the problems of representing and processing spatial expressions. These include dialogue understanding using mental images; interfaces to CAD and multi-media systems, such as natural language querying of photographic databases; speech-driven design and assembly; machine translation systems; spatial queries for Geographic Information Systems; and systems which generate spatial descriptions on the basis of maps, cognitive maps, or other spatial representations, such as intelligent vehicle navigation systems.

Though there have been many different approaches to the representation and processing of spatial expressions, most existing computational characterizations have so far been restricted to particularly narrow problem domains, usually specific spatial contexts determined by overall system goals. To date, artificial intelligence research in this field has rarely taken advantage of language and spatial cognition studies carried out by the cognitive science community. One of the fundamental aims of this book is to bring together research from both disciplines in the belief that artificial intelligence has much to gain from an appreciation of cognitive theories.

Patrick Olivier (Edited by) ,  Klaus-Peter Gapp (Edited by)