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Ontology-Based Modelling of Sensor and Data Processing Ressources Using OWL

Authors:
Denis Smirnov
Peter Stütz

Keywords: Web Ontology Language (OWL); Image Processing Management; Knowledge Management; sensor and data ressources

Abstract:
In this paper, we describe an ontology-based system to inventory and model installed sensor and respective data processing resources on-board airborne surveillance aircrafts. The algorithms are packaged and described in form of discrete processing modules, each representing a low level image processing step. While the implementation of the algorithms is kept detached in a separate library, the description of modules and its parameters are stored in an ontology, representing a knowledge database using Web Ontology Language as a knowledge representation language. Based on the module description stored in the knowledge database, it is possible to identify and manage processing chains capable of solving complex image processing tasks.

Pages: 1 to 7

Copyright: Copyright (c) IARIA, 2016

Publication date: November 13, 2016

Published in: conference

ISSN: 2519-8645

ISBN: 978-1-61208-520-3

Location: Barcelona, Spain

Dates: from November 13, 2016 to November 17, 2016