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SoftwIre Integration - An Onto-Neural Perspective
Auteur(s)
Maison d'édition
: Springer
Date de parution
2011-1-22
De la page
116
A la page
130
Résumé
We propose a framework for automated point-to-point application integration. Functional and technical aspects to consider
are presented. We advocate using intelligible (ontological) and distributed (neural networks) knowledge representations to
guide design and implementation of application interfaces. We believe this yields benefits over manual approaches currently
used, in which business specifications are first captured, then translated into technical specifications, and finally implemented,
often by costly third-party integration specialists. The present work initiates research efforts towards automation of the
latter two activities, with a potential impact on professional-services costs and time-to-operation.
are presented. We advocate using intelligible (ontological) and distributed (neural networks) knowledge representations to
guide design and implementation of application interfaces. We believe this yields benefits over manual approaches currently
used, in which business specifications are first captured, then translated into technical specifications, and finally implemented,
often by costly third-party integration specialists. The present work initiates research efforts towards automation of the
latter two activities, with a potential impact on professional-services costs and time-to-operation.
Notes
, 2011
Nom de l'événement
E-Technologies: Transformation in an Open World --- Fifth MCETECH International Conference (MCETECH 2011)
Identifiants
Type de publication
conference paper
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