Applications of Ontologies for Assembling Simulation Models of Industrial Systems

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F11%3A00185254" target="_blank" >RIV/68407700:21230/11:00185254 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1007/978-3-642-25126-9_24" target="_blank" >http://dx.doi.org/10.1007/978-3-642-25126-9_24</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-642-25126-9_24" target="_blank" >10.1007/978-3-642-25126-9_24</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Applications of Ontologies for Assembling Simulation Models of Industrial Systems

Popis výsledku v původním jazyce

Simulation models are important parts of industrial system analysis and control system design. Despite the wide range of possible usage, their formalization, integration and design have not been satisfactorily solved. This paper contributes to the designphase of simulation models for large-scale industrial systems, consisting of a large number of heterogeneous components. Nowadays, it is the simulation expert who assembles the simulation model for a particular industrial plant manually, which is time-consuming and error-prone. We propose to use a semantic engine performing SPARQL queries, which assembles the structure of a simulation model semi-automatically, using formalized knowledge about real industrial plant and available simulation blocks represented in appropriate ontologies. As each real plant device can be represented by more than one simulation blocks, the selection of suitable simulation candidates is based on matching interfaces of neighboring blocks.

Název v anglickém jazyce

Applications of Ontologies for Assembling Simulation Models of Industrial Systems

Popis výsledku anglicky

Simulation models are important parts of industrial system analysis and control system design. Despite the wide range of possible usage, their formalization, integration and design have not been satisfactorily solved. This paper contributes to the designphase of simulation models for large-scale industrial systems, consisting of a large number of heterogeneous components. Nowadays, it is the simulation expert who assembles the simulation model for a particular industrial plant manually, which is time-consuming and error-prone. We propose to use a semantic engine performing SPARQL queries, which assembles the structure of a simulation model semi-automatically, using formalized knowledge about real industrial plant and available simulation blocks represented in appropriate ontologies. As each real plant device can be represented by more than one simulation blocks, the selection of suitable simulation candidates is based on matching interfaces of neighboring blocks.

Druh

D - Stať ve sborníku

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

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Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2011

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

On the Move to Meaningful Internet Systems: OTM 2011 Workshops

ISBN

978-3-642-25125-2

ISSN

0302-9743

e-ISSN

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Počet stran výsledku

10

Strana od-do

148-157

Název nakladatele

Springer

Místo vydání

Dordrecht

Místo konání akce

Hersonissos

Datum konání akce

17. 10. 2011

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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