Download Constructing Ambient Intelligence: AmI 2007 Workshops by Max Mühlhäuser, Alois Ferscha, Erwin Aitenbichler PDF

By Max Mühlhäuser, Alois Ferscha, Erwin Aitenbichler

This e-book constitutes the refereed lawsuits of the workshops of the 1st eu convention on Ambient Intelligence, AmI 2007, held in Darmstadt, Germany, in November 2007. The papers are prepared in topical sections on AI tools for ambient intelligence, comparing ubiquitous platforms with clients, version pushed software program engineering for ambient intelligence functions, clever items, ambient assisted dwelling, human features in ambient intelligence, Amigo, WASP in addition to the cojoint character and SOPRANO workshops and the KDubiq workshop.

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Read or Download Constructing Ambient Intelligence: AmI 2007 Workshops Darmstadt, Germany, November 7-10, 2007, Revised Papers (Communications in Computer and Information Science) PDF

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Additional info for Constructing Ambient Intelligence: AmI 2007 Workshops Darmstadt, Germany, November 7-10, 2007, Revised Papers (Communications in Computer and Information Science)

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In: Proceedings of the IEEE Vehicular Technology Conference (VTC 2004), Milan, Italy (2004) 17. : Semantic Space: an infrastructure for smart spaces. IEEE Pervasive Computing 3(3), 32–39 (2004) A Survey of Semantics-Based Approaches 23 18. : Ontology Based Context Modeling and Reasoning using OWL. In: PERCOMW 2004, Washington, DC, USA, p. 18. IEEE Computer Society Press, Los Alamitos (2004) 19. : An infrastructure for context-awareness based on first order logic. Personal Ubiquitous Comput. 7(6), 353–364 (2003) 20.

361–376 (2005) 35. : Distributed Reasoning in a Peer-to-Peer Setting: Application to the Semantic Web. O. gr Abstract. In ambient environments, there coexist many different entities that collect, process, and change the available context information. Although they all share the same context, they face it from different viewpoints based on their perceptive capabilities, experiences and goals. Moreover, they are expected to use distinct vocabularies; they may even have different levels of sociality.

An interpretation is a set of propositional formulae, based on a language L2. a) A multi-interpretation operator MI with input language L1 and output language L2 is a function MI : P(L1) → P(P(L2)) that assigns to each set of input facts in L1 a set of sets of formulae in L2. b) A multi-interpretation operator MI is non-inclusive if for all X ⊆ L1 and S, T ∈ MI(X), if S ⊆ T then S = T. c) If L1 ⊆ L2, then a multi-interpretation operator MI is conservative if for all X ⊆ L1, T ∈ MI(X) it holds X ⊆ T.

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