Temporal data models have been used to describe how data can evolve in the context of temporal databases. Both the Extended Entity-Relationship (EER) model and the Unified Modelli...
Alessandro Artale, Roman Kontchakov, Vladislav Ryz...
In this paper we study the ramification problem in the setting of temporal databases. Standard solutions from the literature on reasoning about action are inadequate because they ...
In this paper we study the ramification problem in the setting of temporal databases. Standard solutions from the literature on reasoning about action are inadequate because they ...
Effective querying and managing of temporal databases represent an unanswered challenge to the modern research community. In this paper, we introduce a temporal preprocessor that ...
In this paper, a new method for the determination of missing values in temporal databases is presented. This new method is based on two projection methods: a nonlinear one (Self-Or...
Antti Sorjamaa, Paul Merlin, Bertrand Maillet, Ama...
For the conventional relational model there has been considerable research in the area of incomplete information. On the other hand, research in temporal databases has concentrated...
Temporal databases provide built-in supports for efficient recording and querying of time-evolving data. In this paper, data clustering issues in temporal database environment are...
: This paper brings together two research areas, i.e. “Data Warehouses” and “Temporal Databases”, involving representation of time. Looking at temporal aspects within a dat...
Transaction-time temporal databases and query languages provide a solid framework for analyzing properties of queries over data streams. In this paper we focus on issues connected...
—Past research on temporal databases has primarily focused on state-based representations and on relational query language extensions for such representations. This led to many d...