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Enriching environmental software model interfaces through ontology-based tools

Enriching environmental software model interfaces through ontology-based tools Common practice has proven that software implementations of environmental models are seldom reused by broader communities or in different modelling frameworks. One of the reasons for this situation is the poor semantics of model interfaces. Model interfaces embrace a critical amount of the modellers’ knowledge, but their software implementations can be considered as ‘poor reflections’ of modellers’ perceptions, as they fail to represent the complexity of model assumptions in software terms. This paper addresses the problem by adopting an ontology-driven approach that aims to enrich software model interfaces with advanced semantics. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Applied Systemic Studies Inderscience Publishers

Enriching environmental software model interfaces through ontology-based tools

International Journal of Applied Systemic Studies , Volume 4 (1-2) – Jan 1, 2011

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Publisher
Inderscience Publishers
Copyright
Copyright © 2011 Inderscience Enterprises Ltd.
Subject
Artificial Intelligence and Intelligent Systems; COMPUTING JOURNALS; Computing Science, Applications and Software; Information Systems and Technology; TECHNICAL JOURNALS; Design and Product Development; Materials and Manufacturing; Simulation and Modelling; Systems Engineering; Electronic, Robotic and Control Systems; MANAGEMENT JOURNALS; Operational Management and Marketing
ISSN
1751-0589
eISSN
1751-0597
DOI
10.1504/IJASS.2011.042205
Publisher site
See Article on Publisher Site

Abstract

Common practice has proven that software implementations of environmental models are seldom reused by broader communities or in different modelling frameworks. One of the reasons for this situation is the poor semantics of model interfaces. Model interfaces embrace a critical amount of the modellers’ knowledge, but their software implementations can be considered as ‘poor reflections’ of modellers’ perceptions, as they fail to represent the complexity of model assumptions in software terms. This paper addresses the problem by adopting an ontology-driven approach that aims to enrich software model interfaces with advanced semantics.

Journal

International Journal of Applied Systemic StudiesInderscience Publishers

Published: Jan 1, 2011

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