A snapshot differential refresh algorithm
SIGMOD '86 Proceedings of the 1986 ACM SIGMOD international conference on Management of data
SIGMOD '86 Proceedings of the 1986 ACM SIGMOD international conference on Management of data
Computer
The temporal query language TQuel
ACM Transactions on Database Systems (TODS)
Logical modeling of temporal data
SIGMOD '87 Proceedings of the 1987 ACM SIGMOD international conference on Management of data
A homogeneous relational model and query languages for temporal databases
ACM Transactions on Database Systems (TODS)
A generalized model for a relational temporal database
SIGMOD '88 Proceedings of the 1988 ACM SIGMOD international conference on Management of data
Extending relational algebra to manipulate temporal data
Information Systems
Fundamentals of database systems
Fundamentals of database systems
Access methods for multiversion data
SIGMOD '89 Proceedings of the 1989 ACM SIGMOD international conference on Management of data
A temporal relational model and a query language
Information Sciences: an International Journal
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An introduction to database systems: vol. 1 (5th ed.)
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Event-join optimization in temporal relational databases
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A framework for vacuuming temporal databases
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Interoperability of multiple autonomous databases
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The performance of a multiversion access method
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Segment indexes: dynamic indexing techniques for multi-dimensional interval data
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Scheduling real-time transactions: a performance evaluation
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Selectivity estimation of temporal data manipulations
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Database abstractions: aggregation and generalization
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Maintaining knowledge about temporal intervals
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A relational model of data for large shared data banks
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The Implementation of POSTGRES
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Extensions to SQL for Historical Databases
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IEEE Transactions on Knowledge and Data Engineering
Physical Organization of Temporal Data
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Indexing Techniques for Historical Databases
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The Representation of a Temporal Data Model in the Relational Environment
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Proceedings of the 5th International Conference SSDBM on Statistical and Scientific Database Management
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SAC '98 Proceedings of the 1998 ACM symposium on Applied Computing
Temporal and Real-Time Databases: A Survey
IEEE Transactions on Knowledge and Data Engineering
Aggregates in the Temporal Query Language TQuel
IEEE Transactions on Knowledge and Data Engineering
Data Models with Multiple Temporal Dimensions: Completing the Picture
CAiSE '01 Proceedings of the 13th International Conference on Advanced Information Systems Engineering
Specification and Implementation of Temporal Databases in a Bitemporal Event Calculus
ER '99 Proceedings of the Workshops on Evolution and Change in Data Management, Reverse Engineering in Information Systems, and the World Wide Web and Conceptual Modeling
Indexing of now-relative spatio-bitemporal data
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Modification semantics in now-relative databases
Information Systems
Forensic analysis of database tampering
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
Weaving temporal and reliability aspects into a schema tapestry
Data & Knowledge Engineering
The t4sql temporal query language
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Forensic analysis of database tampering
ACM Transactions on Database Systems (TODS)
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Computer Languages
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A standard relation has two dimensions: attributes and tuples. A temporal relation contains two additional orthogonal time dimensions: valid time records when facts are true in the modeled reality, and transaction time records when facts are stored in the temporal relation. Although there are no restrictions between the valid time and transaction time associated with each fact, in many practical applications the valid and transaction times exhibit restricted interrelationships that define several types of specialized temporal relations. This paper examines areas where different specialized temporal relations are present. In application systems with multiple, interconnected temporal relations, multiple time dimensions may be associated with facts as they flow from one temporal relation to another. The paper investigates several aspects of the resulting generalized temporal relations, including the ability to query a predecessor relation from a successor relation. The presented framework for generalization and specialization allows one to precisely characterize and compare temporal relations and the application systems in which they are embedded. The framework's comprehensiveness and its use in understanding temporal relations are demonstrated by placing previously proposed temporal data models within the framework. The practical relevance of the defined specializations and generalizations is illustrated by sample realistic applications in which they occur. The additional semantics of specialized relations are especially useful for improving the performance of query processing.