Perceptive Services Composition using semantic language and distributed knowledge - Archive ouverte HAL Access content directly
Conference Papers Year : 2007

Perceptive Services Composition using semantic language and distributed knowledge

(1) , (1)
1

Abstract

Building applications composing perceptive services in a pervasive environment can lead to an inextricable problem: they were built by several people, using different programming languages and multiple conventions and protocols. Moreover, services can be volatile, so appear or disappear during running time of the application. This paper proposes the use of a dedicated human-readable semantic language to describe perceptive services. After converting this description into a more common language, one can recruit services using inference engines to build complex applications. In order to increase robustness of the whole system, descriptions of services are distributed over the network using a crosslanguage crossplateform open-source middleware of our own called OMiSCID.
Fichier principal
Vignette du fichier
Emonet07.pdf (110.54 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

inria-00326679 , version 1 (04-10-2008)

Identifiers

  • HAL Id : inria-00326679 , version 1

Cite

Rémi Emonet, Dominique Vaufreydaz. Perceptive Services Composition using semantic language and distributed knowledge. Common Models and Patterns for Pervasive Computing at the 5th International Conference on Pervasive Computin, May 2007, Toronto (Ontario), Canada. ⟨inria-00326679⟩
88 View
35 Download

Share

Gmail Facebook Twitter LinkedIn More