Using temporal hierarchies to efficiently maintain large temporal databases
Journal of the ACM (JACM)
Artificial Intelligence - Special issue on knowledge representation
Temporal Granularity: Completing the Puzzle
Journal of Intelligent Information Systems
Temporal Reasoning in Workflow Systems
Distributed and Parallel Databases
A general framework for time granularity and its application to temporal reasoning
Annals of Mathematics and Artificial Intelligence
Discovering Frequent Event Patterns with Multiple Granularities in Time Sequences
IEEE Transactions on Knowledge and Data Engineering
Implementing Calendars and Temporal Rules in Next Generation Databases
Proceedings of the Tenth International Conference on Data Engineering
Data Models with Multiple Temporal Dimensions: Completing the Picture
CAiSE '01 Proceedings of the 13th International Conference on Advanced Information Systems Engineering
IJCAI'85 Proceedings of the 9th international joint conference on Artificial intelligence - Volume 1
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Temporal constraints are part of the specification of many complex application frameworks including activities to be scheduled, real-time components, temporal data management, e-commerce applications, and workflow management. This paper investigates the problem of creating an abstract view over a set of temporal constraints that may have been specified in terms of different granularities. The level of abstraction is determined by a specific time granularity chosen by the user among the ones in the system or created on purpose. An expressive formal model for time granularities is assumed including common granularities like hours and days as well as non-standard granularities like business days and academic semesters. The view derivation is based on a conversion technique exploiting the periodicity of time granularities.