Temporal logics in AI: semantical and ontological considerations
Artificial Intelligence
A temporal relational model and a query language
Information Sciences: an International Journal
Valid-time indeterminacy
On periodicity in temporal databases
Information Systems
Logical design for temporal databases with multiple granularities
ACM Transactions on Database Systems (TODS)
Developing time-oriented database applications in SQL
Developing time-oriented database applications in SQL
Efficient computation of temporal aggregates with range predicates
PODS '01 Proceedings of the twentieth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database 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
The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling
The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling
An Algebraic Representation of Calendars
Annals of Mathematics and Artificial Intelligence
Aggregates in the Temporal Query Language TQuel
IEEE Transactions on Knowledge and Data Engineering
Temporal and spatio-temporal aggregations over data streams using multiple time granularities
Information Systems - Special issue: Best papers from EDBT 2002
Implementing Calendars and Temporal Rules in Next Generation Databases
Proceedings of the Tenth International Conference on Data Engineering
Temporal Structures in Data Warehousing
DaWaK '99 Proceedings of the First International Conference on Data Warehousing and Knowledge Discovery
Summarizability in OLAP and Statistical Data Bases
SSDBM '97 Proceedings of the Ninth International Conference on Scientific and Statistical Database Management
ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
Efficient Algorithms for Large-Scale Temporal Aggregation
IEEE Transactions on Knowledge and Data Engineering
Advanced SQL 1999: Understanding Object-Relational, and Other Advanced Features
Advanced SQL 1999: Understanding Object-Relational, and Other Advanced Features
Incremental computation and maintenance of temporal aggregates
The VLDB Journal — The International Journal on Very Large Data Bases
IEEE Transactions on Knowledge and Data Engineering
Spatiotemporal Aggregate Computation: A Survey
IEEE Transactions on Knowledge and Data Engineering
A flexible approach to user-defined symbolic granularities in temporal databases
Proceedings of the 2005 ACM symposium on Applied computing
Representing and Reasoning about Temporal Granularities
Journal of Logic and Computation
A mathematical framework for the semantics of symbolic languages representing periodic time
Annals of Mathematics and Artificial Intelligence
Extending temporal databases to deal with telic/atelic medical data
Artificial Intelligence in Medicine
Compact and tractable automaton-based representations of time granularities
Theoretical Computer Science
Data & Knowledge Engineering
A modular approach to user-defined symbolic periodicities
Data & Knowledge Engineering
Encyclopedia of Database Systems
Encyclopedia of Database Systems
Advanced Data Warehouse Design: From Conventional to Spatial and Temporal Applications
Advanced Data Warehouse Design: From Conventional to Spatial and Temporal Applications
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Time-varying data play a major role in many applications, and, starting from the 80's, they have been widely studied in temporal databases. In the last two decades, several researchers have shown that, to deal with many application domains, user-defined temporal granularities must be coped with. When data are stored at multiple user-defined temporal granularities, the task of defining proper conversion functions to aggregate data from an origin granularity (e.g., business days) to a task granularity (e.g., months) is of primary importance. However, current temporal database approaches mostly demand such a task to system administrators, or to specific applications, providing no methodology or general guideline to accomplish it. In this paper, we propose a general and application-independent methodology which, on the basis of the temporal relationship between two user-defined granularities, provides users with a set of conversion/aggregation functions between them, consistent with the telic vs. atelic character of the data to be aggregated. The correctness of the approach is also proved.