The entity-relationship (ER) model, using varying notations and with some semantic
variations, is enjoying a remarkable and increasing popularity in both the research …

In this paper we propose a data model for representing moving objects with uncertain
positions in database systems. It is called the Moving Objects Spatio-Temporal (MOST) data …

Constraint programming is a powerful paradigm for solving combinatorial search problems
that draws on a wide range of techniques from artificial intelligence, computer science …

Recent advances in information technology have enabled scientists to generate
unprecedented amounts of earth-related data, with tremendous potential for dealing with …

A temporal database contains time-varying data. In a real-time database transactions have
deadlines or timing constraints. In this paper we review the substantial research in these two …

Probability theory is mathematically the best understood paradigm for modeling and
manipulating uncertain information. Probabilities of complex events can be computed from …

Even with much activity over the past decade, including organized efforts on both sides of
the Atlantic, the representation of both space and time in digital databases is still problematic …

Although “now” is expressed in SQL and CURRENT_TIMESTAMP within queries, this value
cannot be stored in the database. How ever, this notion of an ever-increasing current-time …

The observation that it is frequently impossible to obtain complete information in the context
of database applications has motivated a substantial literature seeking to extend the …

In valid-time indeterminacy it is known that an event stored in a database did in fact occur,
but it is not known exactly when. In this paper we extend the SQL data model and query …