Abductive diagnosis is an important method to identify explanations for a given set of observations. Unfortunately, most of the algorithmic problems in this area are intractable. ...
The paper addresses the problem of explaining some reasoning tasks associated with the DL-Lite Description Logic. Because of the simplicity of the language, standard concept level ...
Alexander Borgida, Diego Calvanese, Mariano Rodrig...
When dealing with sensors with different time resolutions, it is desirable to model a sensor reading as pertaining to a time interval rather than a unit of time. We introduce two ...
Sander Evers, Maarten M. Fokkinga, Peter M. G. Ape...
: To manage information quality (IQ) effectively, one needs to know how IQ changes over time, what causes it to change, and whether the changes can be predicted. In this paper we a...
Active data clustering is a novel technique for clustering of proximity data which utilizes principles from sequential experiment design in order to interleave data generation and...