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Literature review of spatio-temporal database models

Published online by Cambridge University Press:  17 June 2005

NIKOS PELEKIS ,
BABIS THEODOULIDIS ,
IOANNIS KOPANAKIS  and
YANNIS THEODORIDIS
NIKOS PELEKIS
Affiliation:
Center of Research in Information Management (CRIM), Department of Computation, UMIST, P.O. Box 88, Sackville Street, Manchester M60 1QD, UK; e-mail: [email protected], [email protected], [email protected], http://www.crim.org.uk Department of Informatics, University of Piraeus, 80 Karaoli and Dimitriou Street, GR-18534 Piraeus, Greece; e-mail: [email protected], [email protected], http://www.unipi.gr
BABIS THEODOULIDIS
Affiliation:
Center of Research in Information Management (CRIM), Department of Computation, UMIST, P.O. Box 88, Sackville Street, Manchester M60 1QD, UK; e-mail: [email protected], [email protected], [email protected], http://www.crim.org.uk
IOANNIS KOPANAKIS
Affiliation:
Center of Research in Information Management (CRIM), Department of Computation, UMIST, P.O. Box 88, Sackville Street, Manchester M60 1QD, UK; e-mail: [email protected], [email protected], [email protected], http://www.crim.org.uk
YANNIS THEODORIDIS
Affiliation:
Department of Informatics, University of Piraeus, 80 Karaoli and Dimitriou Street, GR-18534 Piraeus, Greece; e-mail: [email protected], [email protected], http://www.unipi.gr
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Abstract

Recent efforts in spatial and temporal data models and database systems have attempted to achieve an appropriate kind of interaction between the two areas. This paper reviews the different types of spatio-temporal data models that have been proposed in the literature as well as new theories and concepts that have emerged. It provides an overview of previous achievements within the domain and critically evaluates the various approaches through the use of a case study and the construction of a comparison framework. This comparative review is followed by a comprehensive description of the new lines of research that emanate from the latest efforts inside the spatio-temporal research community.

Type
Research Article
Information
The Knowledge Engineering Review , Volume 19 , Issue 3 , September 2004 , pp. 235 - 274
Copyright
© 2004 Cambridge University Press

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