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Research Issues and Trends in Spatial and Temporal Granularities

Research Issues and Trends in Spatial and Temporal Granularities Annals of Mathematics and Artificial Intelligence 36: 1–4, 2002. Guest Editorial Research Issues and Trends in Spatial and Temporal Granularities Being able to define and relate spatial and/or temporal (ST hereafter) representa- tions of the same reality at different grain levels is an important research theme both in the area of Artificial Intelligence and in the area of Database Systems, with a number of applications in the field of Geographic Information Systems. Furthermore, the inherent abstraction power of the granularity concept has been successfully exploited in several application domains, including temporal and spatial reasoning, hierarchical planning, natural language understanding, temporal database design, database inter-operability, data mining, medical informatics, image processing, hierarchical reasoning in GIS, and real-time system specification and verification. The idea of organizing this special issue originates from a successful international workshop, held in conjunction with the AAAI Conference in Austin, TX, on July 30, 2000. The workshop gathered active researchers from the above areas to explore key is- sues and major trends in ST granularity. Most of the selected contributions are extended and revised versions of papers presented at the workshop. In order to introduce the topic of the special issue, we outline the basic research issues http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Annals of Mathematics and Artificial Intelligence Springer Journals

Research Issues and Trends in Spatial and Temporal Granularities

Annals of Mathematics and Artificial Intelligence , Volume 36 (2) – Oct 10, 2004
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References (3)

Publisher
Springer Journals
Copyright
Copyright © 2002 by Kluwer Academic Publishers
Subject
Computer Science; Artificial Intelligence (incl. Robotics); Mathematics, general; Computer Science, general; Complex Systems
ISSN
1012-2443
eISSN
1573-7470
DOI
10.1023/A:1015869832085
Publisher site
See Article on Publisher Site

Abstract

Annals of Mathematics and Artificial Intelligence 36: 1–4, 2002. Guest Editorial Research Issues and Trends in Spatial and Temporal Granularities Being able to define and relate spatial and/or temporal (ST hereafter) representa- tions of the same reality at different grain levels is an important research theme both in the area of Artificial Intelligence and in the area of Database Systems, with a number of applications in the field of Geographic Information Systems. Furthermore, the inherent abstraction power of the granularity concept has been successfully exploited in several application domains, including temporal and spatial reasoning, hierarchical planning, natural language understanding, temporal database design, database inter-operability, data mining, medical informatics, image processing, hierarchical reasoning in GIS, and real-time system specification and verification. The idea of organizing this special issue originates from a successful international workshop, held in conjunction with the AAAI Conference in Austin, TX, on July 30, 2000. The workshop gathered active researchers from the above areas to explore key is- sues and major trends in ST granularity. Most of the selected contributions are extended and revised versions of papers presented at the workshop. In order to introduce the topic of the special issue, we outline the basic research issues

Journal

Annals of Mathematics and Artificial Intelligence – Springer Journals

Published: Oct 10, 2004

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