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Ontology-based Management of a Network for Distributed Control System

Authors:
Dariusz Choinski
Michal Senik
Bartosz Pietrzyk

Keywords: Network management; Multi-Agent Systems; Ontology; FOL; FIPA; OPC; XML; hybrid systems; concurrent programming.

Abstract:
In this paper, we propose an ontology-based analysis and management of a domain in which initially unspecified number of Industrial Automation (IA) data servers compatible with Open Platform Communication (OPC) specification are available for processing. The result of performed analysis is an ontology-based Multi-Agent System (MAS) compatible with Foundation for Intelligent Physical Agents (FIPA) specification that is capable of reliable management in a nondeterministic environment conditions in which not only data servers can change over time in number but their hierarchical data structures as well. The first step of presented analysis involves explicit knowledge formalization by means of a Unified Modeling Language (UML). The goal is to obtain complete, hierarchically structured, constrained, human readable ontology in a UML class diagrams format, representing both topology of the domain and its dynamic process control data. The second step is to translate obtained UML class diagram into First Order Logic (FOL) expressions. The goal is to establish more detailed domain knowledge as well as to check consistency and assure confidence of the derived UML class diagram. The third step is to formalize explicitly domain ontology in a machine interpretable extensible markup language (XML) schema (XSD), based on the derived UML class diagram. The goal is to have a possibility of automatic generation of hierarchically structured, class source code that together with parent UML model and FOL expressions will serve as a baseline for the domain integration system development.

Pages: 97 to 102

Copyright: Copyright (c) IARIA, 2014

Publication date: July 20, 2014

Published in: conference

ISSN: 2308-3484

ISBN: 978-1-61208-365-0

Location: Paris, France

Dates: from July 20, 2014 to July 24, 2014