Many clinical domains involve the collection of different types and substantial numbers of data over time. This is especially true when monitoring chronic patients. It is highly desirable to assist human users (e.g., clinicians, researchers), or decision support applications (e.g., diagnosis, therapy, quality assessment), who need to interpret large amounts of time-oriented data by providing a ...

Currently, there are strong efforts to integrate spatial and temporal database technology into spatio-temporal database systems. This paper views the topic from a more fundamental perspective and makes several contributions. First, it reviews existing temporal and spatial data models and presents a completely new approach to temporal data modeling based on the very general notion of temporal ob...

We deene formal notions of temporal domain and temporal database, and use them to survey a wide spectrum of temporal query languages. We distinguish between an abstract temporal database and its concrete representations, and accordingly between abstract and concrete temporal query languages. We also address the issue of incomplete temporal information.

Several links exist between active and temporal databases. These are summarised by the observation that rules are triggered by a specified evolution of the database. In this paper, we discuss the relation between active and temporal database using DEGAS, an object-based active database programming language. To achieve full active database functionality, a DEGAS object records its complete histo...