Reasoning in pervasive computing has to face computational issues inherited by mobile platforms. This paper presents a prototypical reasoner for mobile devices, which leverages Semantic Web technologies to implement both standard (subsumption, satisfiability, classification) and non-standard (abduction, contraction) inferences for moderately expressive knowledge bases. System features are surveyed, followed by early performance analysis.

A Mobile Reasoner for Semantic-based Matchmaking

Loseto, G.;
2012

Abstract

Reasoning in pervasive computing has to face computational issues inherited by mobile platforms. This paper presents a prototypical reasoner for mobile devices, which leverages Semantic Web technologies to implement both standard (subsumption, satisfiability, classification) and non-standard (abduction, contraction) inferences for moderately expressive knowledge bases. System features are surveyed, followed by early performance analysis.
978-3-642-33203-6
Conjunctive Normal Form
Logic Language
Reasoning Service
Expressive Knowledge Base
Semantic Matchmaking
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/20.500.12572/7742
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