Ontology learning is an important task in Artificial Intelligence, Semantic Web and Text Mining. This paper presents a novel framework for, and solutions to, three practical probl...
The production of geospatial information from overhead imagery is generally a labor-intensive process. Analysts must accurately delineate and extract important features, such as b...
Sung Chun Lee, Keith E. Price, Ramakant Nevatia, T...
In this paper, we discuss how a cognitive concept, causality, can be used for the conceptual underpinning of Virtual Reality Art installations. Causality plays an important role i...
Marc Cavazza, Jean-Luc Lugrin, Sean Crooks, Alok N...
It is widely accepted in Distributed Artificial Intelligence that a crucial property of artificial agents is their autonomy. Whereas agent autonomy enables features of agent-base...
Abstract. We propose a generic framework and methods for simplification of large networks. The methods can be used to improve the understandability of a given network, to complemen...