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A Framework for Ontology Based Management of Neural Network as a Service

  • Erich SchikutaEmail author
  • Abdelkader Magdy
  • A. Baith Mohamed
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9950)

Abstract

Neural networks proved extremely feasible for problems which are hard to solve by conventional computational algorithms due to excessive computational demand, as NP-hard problems, or even lack of a deterministic solution approach. In this paper we present a management framework for neural network objects based on ontology knowledge for the cloud-based neural network simulator N2Sky, which delivers neural network resources as a service on a world-wide basis. Core of this framework is the Neural Network Query Engine, N2Query, which allows users to specify their problem statements in form of natural language queries. It delivers a list of ranked N2Sky resources in return, providing solutions to these problems. The search algorithm applies a mapping process between a domain specific problem ontology and solution ontology.

Keywords

Neural network as a service Virtual organization Semantic description Cloud computing 

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Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  • Erich Schikuta
    • 1
    Email author
  • Abdelkader Magdy
    • 1
  • A. Baith Mohamed
    • 2
  1. 1.University of ViennaViennaAustria
  2. 2.Arab Academy for Science and Technology and Maritime TransportAlexandriaEgypt

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