SoftwIre Integration - An Onto-Neural Perspective
Author(s)
Publisher
: Springer
Date issued
January 22, 2011
From page
116
To page
130
Subjects
ontology matching neural network application integration
Abstract
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
Event name
E-Technologies: Transformation in an Open World --- Fifth MCETECH International Conference (MCETECH 2011)
Publication type
conference paper
File(s)
