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Resolving conflicts in knowledge for ambient intelligence

Published online by Cambridge University Press:  30 October 2015

Martin Homola ,
Theodore Patkos ,
Giorgos Flouris ,
Ján Šefránek ,
Alexander Šimko ,
Jozef Frtús ,
Dimitra Zografistou  and
Martin Baláž
Martin Homola
Affiliation:
Comenius University in Bratislava, Mlynská dolina, 842 48 Bratislava, Slovakia e-mail: homola@fmph.uniba.sk, frtus@fmph.uniba.sk, simko@fmph.uniba.sk, sefranek@fmph.uniba.sk, balaz@fmph.uniba.sk
Theodore Patkos
Affiliation:
Foundation for Research and Technology Hellas (FORTH), 70013 Heraklion Crete, Greece e-mail: patkos@ics.forth.gr, fgeo@ics.forth.gr, dzograf@ics.forth.gr
Giorgos Flouris
Affiliation:
Foundation for Research and Technology Hellas (FORTH), 70013 Heraklion Crete, Greece e-mail: patkos@ics.forth.gr, fgeo@ics.forth.gr, dzograf@ics.forth.gr
Ján Šefránek
Affiliation:
Comenius University in Bratislava, Mlynská dolina, 842 48 Bratislava, Slovakia e-mail: homola@fmph.uniba.sk, frtus@fmph.uniba.sk, simko@fmph.uniba.sk, sefranek@fmph.uniba.sk, balaz@fmph.uniba.sk
Alexander Šimko
Affiliation:
Comenius University in Bratislava, Mlynská dolina, 842 48 Bratislava, Slovakia e-mail: homola@fmph.uniba.sk, frtus@fmph.uniba.sk, simko@fmph.uniba.sk, sefranek@fmph.uniba.sk, balaz@fmph.uniba.sk
Jozef Frtús
Affiliation:
Comenius University in Bratislava, Mlynská dolina, 842 48 Bratislava, Slovakia e-mail: homola@fmph.uniba.sk, frtus@fmph.uniba.sk, simko@fmph.uniba.sk, sefranek@fmph.uniba.sk, balaz@fmph.uniba.sk
Dimitra Zografistou
Affiliation:
Foundation for Research and Technology Hellas (FORTH), 70013 Heraklion Crete, Greece e-mail: patkos@ics.forth.gr, fgeo@ics.forth.gr, dzograf@ics.forth.gr
Martin Baláž
Affiliation:
Comenius University in Bratislava, Mlynská dolina, 842 48 Bratislava, Slovakia e-mail: homola@fmph.uniba.sk, frtus@fmph.uniba.sk, simko@fmph.uniba.sk, sefranek@fmph.uniba.sk, balaz@fmph.uniba.sk
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Abstract

Ambient intelligence (AmI) proposes pervasive information systems composed of autonomous agents embedded within the environment who, in orchestration, complement human activity in an intelligent manner. As such, it is an interesting and challenging application area for many computer science fields and approaches. A critical issue in such application scenarios is that the agents must be able to acquire, exchange, and evaluate knowledge about the environment, its users, and their activities. Knowledge populated between the agents in such systems may be contextually dependent, ambiguous, and incomplete. Conflicts may thus naturally arise, that need to be dealt with by the agents in an autonomous way. In this survey, we relate AmI to the area of knowledge representation and reasoning (KR), where conflict resolution has been studied for a long time. We take a look at a number of KR approaches that may be applied: context modelling, multi-context systems, belief revision, ontology evolution and debugging, argumentation, preferences, and paraconsistent reasoning. Our main goal is to describe the state of the art in these fields, and to draw attention of researchers to important theoretical issues and practical challenges that still need to be resolved, in order to reuse the results from KR in AmI systems or similar complex and demanding applications.

Type
Articles
Information
The Knowledge Engineering Review , Volume 30 , Issue 5 , November 2015 , pp. 455 - 513
Copyright
© Cambridge University Press, 2015 

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