A homogeneous relational model and query languages for temporal databases
ACM Transactions on Database Systems (TODS)
Evaluation of relational algebras incorporating the time dimension in databases
ACM Computing Surveys (CSUR)
Finite representation of infinite query answers
ACM Transactions on Database Systems (TODS)
Handling infinite temporal data
Selected papers of the 9th annual ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
On periodicity in temporal databases
Information Systems
Point vs. interval-based query languages for temporal databases (extended abstract)
PODS '96 Proceedings of the fifteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
Temporal logic in information systems
Logics for databases and information systems
The TSQL2 Temporal Query Language
The TSQL2 Temporal Query Language
Time Granularities in Databases, Data Mining and Temporal Reasoning
Time Granularities in Databases, Data Mining and Temporal Reasoning
Symbolic representation of user-defined time granularities
Annals of Mathematics and Artificial Intelligence
An Algebraic Representation of Calendars
Annals of Mathematics and Artificial Intelligence
Symbolic User-Defined Periodicity in Temporal Relational Databases
IEEE Transactions on Knowledge and Data Engineering
Point-Versus Interval-Based Temporal Data Models
ICDE '98 Proceedings of the Fourteenth International Conference on Data Engineering
IEEE Transactions on Knowledge and Data Engineering
A Lattice of Classes of User-Defined Symbolic Periodicities
TIME '04 Proceedings of the 11th International Symposium on Temporal Representation and Reasoning
A Mathematical Framework for the Semantics of Symbolic Languages Representing Periodic Time
TIME '04 Proceedings of the 11th International Symposium on Temporal Representation and Reasoning
A modular approach to user-defined symbolic periodicities
Data & Knowledge Engineering
Temporal aggregation on user-defined granularities
Journal of Intelligent Information Systems
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 granularities, calendars and periodicities are gaining an increasing relevance in the area of temporal databases (TDB). In this paper, we discuss the advantages of adopting for TDBs a modular framework, based on a family of symbolic languages, defined starting from a set of mutually orthogonal properties that characterize periodicity. First, we show that one of the languages covers the notion of granularity (as defined in the TDB glossary), so that it can be used in order to define validity times of facts in a TDB. Second, we discuss the usefulness of using more expressive languages in the family to achieve such a goal. Third, we explore how such languages can be used in order to deal in an intensional way with infinite periodic data in temporal (relational) databases.