A flexible approach to user-defined symbolic granularities in temporal databases
Proceedings of the 2005 ACM symposium on Applied computing
A mathematical framework for the semantics of symbolic languages representing periodic time
Annals of Mathematics and Artificial Intelligence
Dynamic context adaptation in multimedia documents
Proceedings of the 2006 ACM symposium on Applied computing
Artificial Intelligence in Medicine
A modular approach to user-defined symbolic periodicities
Data & Knowledge Engineering
GeTS: a specification language for geo-temporal notions
KI'06 Proceedings of the 29th annual German conference on Artificial intelligence
An implicit approach to deal with periodically repeated medical data
Artificial Intelligence in Medicine
An intensional approach for periodic data in relational databases
Journal of Intelligent Information Systems
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User-defined calendars and periodicities are gaining an increasing relevance in AI and DB theory and applications. Thus several representation languages have been introduced to model them. Even focusing the attention on symbolic languages only, several different proposals can be chosen, and the comparisons between them are not trivial at all. In this paper, we propose a lattice of properties about periodicity and use it in order to classify different symbolic approaches in the literature. We then propose a language which covers all the properties in the lattice.