Proceedings of the Third International Conference on Information and Knowledge Management - CIKM '94 1994
DOI: 10.1145/191246.191296
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A pattern matching language for spatio-temporal databases

Abstract: We propose a pattern matching language for spatio-temporal databases.

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Cited by 28 publications
(10 citation statements)
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“…In (Worboys, 1994) a spatial data model has been generalized to become spatio-temporal: spatio-temporal objects are defined as socalled spatio-bitemporal complexes whose spatial features are described by simplicial complexes and whose temporal features are given by bitemporal elements attached to all components of simplicial complexes. On the other hand, temporal data models have been generalized to become spatio-temporal and include variants of Gadia's temporal model (Gadia et al, 1993) which are described in (Cheng et al, 1994, Böhlen et al, 1998. The main drawback of all these approaches is that ultimately they are incapable of modeling continuous changes of spatial objects over time.…”
Section: Related Workmentioning
confidence: 99%
“…In (Worboys, 1994) a spatial data model has been generalized to become spatio-temporal: spatio-temporal objects are defined as socalled spatio-bitemporal complexes whose spatial features are described by simplicial complexes and whose temporal features are given by bitemporal elements attached to all components of simplicial complexes. On the other hand, temporal data models have been generalized to become spatio-temporal and include variants of Gadia's temporal model (Gadia et al, 1993) which are described in (Cheng et al, 1994, Böhlen et al, 1998. The main drawback of all these approaches is that ultimately they are incapable of modeling continuous changes of spatial objects over time.…”
Section: Related Workmentioning
confidence: 99%
“…For example, data models that are only concerned with moving objects, such as [62,71], cannot express queries that involve changing regions, such as Q1. Models that are restricted to discretely changing objects, such as [10,74,54,9,41,18], cannot express queries about continuous objects; again, query Q1 relies on exploiting the continuous nature of the involved objects. None of the existing data models can express queries about changing relationships of objects in a satisfactory way, as it is required for query Q2.…”
Section: Limitations Of Existing Approachesmentioning
confidence: 99%
“…Spatiotemporal objects are defined as so-called spatio-bitemporal complexes whose spatial features are described by simplicial complexes and whose temporal features are given by bitemporal elements attached to all components of simplicial complexes. On the other hand, temporal data models have been generalized to become spatiotemporal and include variants of Gadia's temporal model [34] which can be found in [10,7]. In [66] a discrete snapshot model is described.…”
Section: Related Workmentioning
confidence: 99%
“…In [30] a spatial data model has been generalized to become spatio-temporal: spatio-temporal objects are defined as so-called spatiobitemporal complexes whose spatial features are described by simplicial complexes and whose temporal features are given by bitemporal elements attached to all components of simplicial complexes. On the other hand, temporal data models have been generalized to become spatio-temporal and include variants of Gadia's temporal model [19] which are described in [6,4]. The main drawback of all these approaches is that ultimately they are incapable of modeling continuous changes of spatial objects over time.…”
Section: Related Workmentioning
confidence: 99%