We point out several problems in scalingup statistical approaches to spoken dialogue systems to enable them to deal with complex but natural user goals, such as disjunctive and ne...
Abstract. One of the key challenges faced when developing contextaware pervasive systems is to capture the set of inputs that we want a system to adapt to. Arbitrarily specifying r...
Adrian K. Clear, Ross Shannon, Thomas Holland, Aar...
In ubiquitous computing, behavior routine learning is the process of mining the context-aware data to find interesting rules on the user’s behavior, while preference learning tri...
: In this paper we propose two generic mechanisms implemented in a cadastre internet information system. The first one is the list of last queries submitted by a given user and the...
Many conceptual modeling and system design methodologies provide tools to help system designers to model the real world. No guidelines exist, however, for determining the relation...