Semantic Extensions to the Vienna Neural Network Specification Language

Semantic Extensions to the Vienna Neural Network Specification Language

Abstract

The Vienna Neural Network Specification Language (ViNNSL) is an XML based domain specific language for the description of neural network objects. It proved very well as communication framework in service-oriented architecture based neural network simulation environments, as N2Sky. N2Sky is a virtual organization (VO) environment based on the sky computing paradigm. It allows the creation, training, evaluation of artificial neural networks by leveraging arbitrary resources in federated clouds and the exchange of these objects between stakeholders of the VO on a world-wide basis. In this paper we present two novel extensions of ViNNSL to allow a higher degree of knowledge representation. First, we enable ViNNSL to describe the specific application domain of trained neural networks to identify their problem solution capacity. Second, we attribute the description of an instantiated and trained neural network by describing its execution paradigm, sequential and parallel, and the specific necessary infrastructure, hardware and software environment, for processing. These two extensions allow on the one hand for querying and finding neural network instantiations in N2Sky for specific problems, and on the other hand for improving the execution performance of networks by exploiting parallelization approaches transparently to the user.

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Authors
  • Schikuta, Erich
  • Huqqani, Altaf Ahmad
  • Kopica, Thomas
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Shortfacts
Category
Paper in Conference Proceedings or in Workshop Proceedings (Full Paper in Proceedings)
Event Title
International Joint Conference on Neural Networks 2015
Divisions
Workflow Systems and Technology
Subjects
Auszeichungssprachen
Webentwicklung, Webanwendungen
Kuenstliche Intelligenz
Event Location
Killarney, Ireland
Event Type
Conference
Event Dates
July 12 - 17, 2015
Series Name
Proceeding of IJCNN 2015
ISSN/ISBN
978-1-4799-1960-4
Page Range
pp. 1-8
Date
July 2015
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