The problem of managing spatio-temporal data arises in many applications, such as location-
based services, environmental monitoring, geographic information systems, and many …

We represent knowledge as integrity constraints in a formalization of probabilistic spatio-
temporal knowledge bases. We start by defining the syntax and semantics of a formalization …

We formally introduce the concept of repair and consistent answer for inconsistent
probabilistic spatio-temporal databases. We start by defining the syntax and semantics of …

There is now extensive interest in reasoning about moving objects. A probabilistic spatio-
temporal (PST) knowledge base (KB) contains atomic statements of the form “Object o …

The problem of managing spatio-temporal data arises in many applications, such as location-
based services, environment monitoring, geographic information system, and many others …

There are numerous applications where there: is uncertainty over space and time. Examples
of such uncertainty arise in vehicle tracking systems where we are not always sure where a …

A deployment of a multi-agent system on a network refers to the placement of one or more
copies of each agent on network hosts, in such a manner that the memory constraints of …

Spatial probabilistic temporal (SPOT) databases are a paradigm for reasoning with
probabilistic statements about where a vehicle may be now or in the future. They express …

To date, there has been no work on temporal probabilistic agent reasoning on top of
heterogeneous legacy databases and software modules. We will define the concept of a …

SPOT databases have been proposed as a paradigm for efficiently reasoning about
probabilistic spatio-temporal data. A selection query asks for all pairs of objects and times …