We build the generic methodology based on machine learning and reasoning to detect the patterns of interaction between conflicting agents, including humans and their assistants. L...
The deep Web presents a pressing need for integrating large numbers of dynamically evolving data sources. To be more automatic yet accurate in building an integration system, we o...
Shui-Lung Chuang, Kevin Chen-Chuan Chang, ChengXia...
In this paper, a multimedia data mining framework for discovering important but previously unknown knowledge such as vehicle identification, traffic flow, and the spatio-temporal ...
Abstract. ENIGMA is an experimental platform for collaborative authoring of the behaviour of autonomous virtual characters in interactive narrative applications. The main objective...
Abstract. The paper describes how interpretations of multimedia documents can be formally derived using abduction over domain knowledge represented in an ontology. The approach use...
Irma Sofia Espinosa Peraldi, Atila Kaya, Ralf M&ou...