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A foundation for representing and querying moving objects
Open accessAbstract
Spatio-temporal databases deal with geometries changing over time. The goal of our work is to provide a DBMS data model and query language capable of handling such time-dependent geometries, including those changing continuously that describe moving objects . Two fundamental abstractions are moving point and moving region , describing objects for which only the time-dependent position, or position and extent, respectively, are of interest. We propose to present such time-dependent geometries as attribute data types with suitable operations, that is, to provide an abstract data type extension to a DBMS data model and query language. This paper presents a design of such a system of abstract data types. It turns out that besides the main types of interest, moving point and moving region, a relatively large number of auxiliary data types are needed. For example, one needs a line type to represent the projection of a moving point into the plane, or a “moving real” to represent the time-dependent distance of two points. It then becomes crucial to achieve (i) orthogonality in the design of the system, i.e., type constructors can be applied unifomly; (ii) genericity and consistency of operations, i.e., operations range over as many types as possible and behave consistently; and (iii) closure and consistency between structure and operations of nontemporal and related temporal types. Satisfying these goal leads to a simple and expressive system of abstract data types that may be integrated into a query language to yield a powerful language for querying spatio-temporal data, including moving objects. The paper formally defines the types and operations, offers detailed insight into the considerations that went into the design, and exemplifies the use of the abstract data types using SQL. The paper offers a precise and conceptually clean foundation for implementing a spatio-temporal DBMS extension.
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Cites
Maintaining knowledge about temporal intervals
Allen, J. F. (1983) · Communications of the ACM · doi:10.1145/182.358434 · Cited by 7,593
Cited by
Capturing the Uncertainty of Moving-Object Representations
Pfoser, D., & Jensen, C. S. (1999) · Lecture Notes in Computer Science · doi:10.1007/3-540-48482-5_9 · Cited by 481
Self-citationMovingPandas: Efficient Structures for Movement Data in Python
Graser, A. (2019) · GI_Forum · doi:10.1553/giscience2019_01_s54 · Cited by 89
Metadata
- Authors
- Güting, R. H., Böhlen, M. H., Erwig, M., Jensen, C. S., Lorentzos, N. A., Schneider, M., & Vazirgiannis, M.
- Venue
- ACM Transactions on Database Systems
- Published
- 2000-03
- Volume
- 25
- Issue
- 1
- Pages
- 1-42
- ISSN
- 0362-5915 (ISSN-L)
- 1557-4644
- OpenAlex
- W2032521898
- Cited by
- 758
- References
- 1
- FWCI
- 59.02
- Type
- journal article
- Language
- en
- Open access
- bronze
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- CoChat. (2026). Citation check: A foundation for representing and querying moving objects. https://app.cochat.ai/papers/10.1145/352958.352963
- The paper
- Güting, R. H., Böhlen, M. H., Erwig, M., Jensen, C. S., Lorentzos, N. A., Schneider, M., & Vazirgiannis, M. (2000). A foundation for representing and querying moving objects. ACM Transactions on Database Systems. https://doi.org/10.1145/352958.352963
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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