Rule-Based Contextual Reasoning in Ambient Intelligence

Antonis Bikakis, Grigoris Antoniou

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

20 Citations (Scopus)


Context, Context Representation and Contextual Reasoning constitute central notions in the Ambient Intelligence vision to transform our living and working environments into 'intelligent spaces'. Ontology-based models have been argued to satisfy all demands concerning context representation. Rule-based reasoning has already been successfully integrated in ontology-based applications for domains with similar requirements (e.g. the Web), while it offers significant advantages concerning its deployment in the Ambient Intelligence domain. In this paper, we analyze the general challenges of contextual reasoning, argue about the suitability of rule-based reasoning, and describe the deployment of such methods in two different settings; in a centralized semantics-based context management framework for Ambient Intelligence, and in a totally distributed system of logic-based abient agents.

Original languageEnglish
Title of host publicationSemantic Web Rules
Subtitle of host publicationInternational Symposium, RuleML 2010, Proceedings
EditorsMike Dean, John Hall, Antonino Rotolo, Said Tabet
PublisherSpringer-Verlag Berlin Heidelberg
Number of pages15
Volume6403 LNCS
ISBN (Electronic)9783642162893
ISBN (Print)3642162886, 9783642162886
Publication statusPublished - 6 Oct 2010
Externally publishedYes
Event4th International Web Rule Symposium - Washington, United States
Duration: 21 Oct 201023 Oct 2010
Conference number: 4

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer-Verlag Berlin Heidelberg
Volume6403 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference4th International Web Rule Symposium
Abbreviated titleRuleML 2010
Country/TerritoryUnited States


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