Context is the challenge for the coming years in artificial intelligence. In the companion paper [8], we present the main results of discussions at two workshops and at the first conference focusing on the notion of context. In this paper, we present a view of how context is considered in knowledge acquisition, machine learning, communication, and databases and ontologies. We describe the way in which context is modelled and represented in the logic formalism and a rule-based formalism. We present briefly after some of the other approaches, and sum up the different points that may be of interest for modelling context effectively
In the recent Computer Science literature, contexts have been proposed mainly to formalize context d...
International audienceA “Context” is an elusive concept, that, it could not be defined automatically...
Since McCarthy`s Turing Award speech, in 1971, the notion of context has been used in Artificial Int...
The notion of `context` is called to account for a multifarious variety of phenomena in philosophy o...
The notion of context has been called to account for a wide range of linguistic and cognitive phenom...
Despite recent Artificial Intelligence (AI) advances in narrow task areas such as face recognition a...
The aim of this paper is to review the most important research initiatives concerning context in com...
The issue of context arises in assorted areas of Artificial Intelligence. Although its importance is...
The aim of this paper is to review the most important research initiatives concerning context in com...
This paper introduces a context model to be used in context-aware cognitive artificial systems. The ...
The context paradigm emerges from different areas of Artificial Intelligence. However, while signifi...
This paper's main objective is to consolidate the knowledge on context in the realm of intelligent s...
The importance of contextual reasoning is emphasized by various researchers in AI. (A partial list i...
We discuss the problems of developing a theory of context that applies to the phenomena of naturally...
The problem of context has a long tradition in different areas of artificial intelligence (AI). Howe...
In the recent Computer Science literature, contexts have been proposed mainly to formalize context d...
International audienceA “Context” is an elusive concept, that, it could not be defined automatically...
Since McCarthy`s Turing Award speech, in 1971, the notion of context has been used in Artificial Int...
The notion of `context` is called to account for a multifarious variety of phenomena in philosophy o...
The notion of context has been called to account for a wide range of linguistic and cognitive phenom...
Despite recent Artificial Intelligence (AI) advances in narrow task areas such as face recognition a...
The aim of this paper is to review the most important research initiatives concerning context in com...
The issue of context arises in assorted areas of Artificial Intelligence. Although its importance is...
The aim of this paper is to review the most important research initiatives concerning context in com...
This paper introduces a context model to be used in context-aware cognitive artificial systems. The ...
The context paradigm emerges from different areas of Artificial Intelligence. However, while signifi...
This paper's main objective is to consolidate the knowledge on context in the realm of intelligent s...
The importance of contextual reasoning is emphasized by various researchers in AI. (A partial list i...
We discuss the problems of developing a theory of context that applies to the phenomena of naturally...
The problem of context has a long tradition in different areas of artificial intelligence (AI). Howe...
In the recent Computer Science literature, contexts have been proposed mainly to formalize context d...
International audienceA “Context” is an elusive concept, that, it could not be defined automatically...
Since McCarthy`s Turing Award speech, in 1971, the notion of context has been used in Artificial Int...