Geographical information directly comes from the Real World observation, therefore the sources are multiple and qualities may be very different: inaccuracy, uncertainty and (spatial) incompleteness lead to many imperfections on data. Reasoning with such information, requires suitable representation and processing.
The purpose of this workshop is to promote interaction about the potential applications of artificial intelligence approaches in the context of spatio-temporal reasoning in GIS.
 

Technical program
 

Topics:
The workshop will focus on spatio-temporal reasoning with uncertainty in the context of GIS and the topics of interest include (but are not limited to)

spatial-temporal uncertainty representation and reasoning

inconsistency handling

belief revision and update

preference integration

decision making

data fusion

relationship between natural language and GIS

further develop techniques for the smooth integration of new information into geographic databases.

explicitly represent and reason with spatial uncertainty in systems.

integrate qualitative techniques, previously developed, for dynamic spatial uncertainty handling and representation into state-of-the-art systems.

evaluate algorithmic complexity and develop efficient algorithms for reasoning with spatial uncertainty.

develop these techniques in the context of environmental and cadastral applications.

Submission format:
We strongly encourage the submission of research papers according the topic above, the submission preferably is electronic to both : jeansoulin@lim.univ-mrs.fr and papini@univ-tln.fr not more than 15 pages in the same format than ECSQARU conference http://www.irit.fr/ECSQARU-2001 /call.html, otherwise 3 hard copies to the workshop responsibles (see address below).

Deadlines:
submission deadline : april 30th 2001 acceptance decision : may 30th 2001
camera-rady copy due : june 30th 2001

Inquiries: