Traditional databases store sets of relatively static records with no pre-defined notion of time, unless timestamp attributes are explicitly added. While this model adequately rep...
Algorithms that enable the process of automatically mining distinct topics in document collections have become increasingly important due to their applications in many fields and ...
In this paper, we present a heuristic approach for finding errors and possible improvements in business process models. First, we translate the information that is included in a m...
Recommending database queries is an emerging and promising field of investigation. This is of particular interest in the domain of OLAP systems where the user is left with the te...
Arnaud Giacometti, Patrick Marcel, Elsa Negre, Arn...
This paper presents a geo-temporal gazetteer Web service that provides access to names of places and historical periods, together with the associated geotemporal information. With...