Enhancing Cooperation in Distributed Information Systems using Conviviality and Multi-Context Systems

Caire, Patrice; Bikakis, Antonis

Reference : Enhancing Cooperation in Distributed Information Systems using Conviviality and Multi...


	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/10993/6384

Title :	Enhancing Cooperation in Distributed Information Systems using Conviviality and Multi-Context Systems
Language :	English
Author, co-author :	Caire, Patrice [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Bikakis, Antonis [> >]
Publication date :	2011
Main document title :	Multi-disciplinary Trends in Artificial Intelligence - 5th International Workshop, MIWAI 2011,
Publisher :	Lecture Notes in Computer Science 7080 Springer 2011
Pages :	14-25
Peer reviewed :	Yes
Audience :	International
Event name :	Multi-disciplinary Trends in Artificial Intelligence - 5th International Workshop, MIWAI 2011,
Event date :	Dec 8, 2011 - Dec 9, 2011
Keywords :	[en] Distributed Artificial Intelligence ; Knowledge Representation and Reasoning ; Conviviality ; Multi-Context Systems ; Social Dependence Networks.
Abstract :	[en] Modern information systems are characterized by the distribution of information and services among several autonomous heterogeneous entities. A major requirement for the success of such systems is that participating entities cooperate by sharing parts of their local knowledge. This paper presents a novel approach for modeling and enhancing cooperation in distributed information systems, which combines two formal models from the field of Knowledge Representation and Reasoning: a conviviality model and Multi-Context Systems. Our aim is two-fold. First, we develop a combined model for context-based representation and cooperation. Second, we provide the means for measuring cooperation leading to the design and evaluation of more convivial systems.
Permalink :	http://hdl.handle.net/10993/6384
Commentary :	7080 Multi-disciplinary Trends in Artificial Intelligence - 5th International Workshop, MIWAI 2011

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