A framework for integrated modeling using a knowledge-driven approach
In this paper, we argue that integrated modeling is about integrating disciplinary discourses reflecting various points of view on a given system rather than only setting up a very complex model from the start, or putting together independently designed models. In our approach, we propose an integrated modeling environment, based on ontologies, to represent and articulate the various points of view. Accordingly the proposed framework, called MIMOSA, is based on two components: 1) a declarative component based on ontologies to describe the concepts, the modeled system using the described concepts, and its dynamics using an extensible set of formalisms, 2) an executive component based on DEVS (Discrete EVent System), used to map the declarative component into. Additionally, we describe the architecture to initialize and to observe the simulation. The originality lies in the way we are using ontologies and declarative modeling to design the model, the use of DEVS, as well as in supporting the whole process within a software platform. The approach is illustrated with a socio-ecological model for assessing the sustainability of community-based regulations in Madagascar.
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dig-cirad-fr-5567522022-03-30T12:57:34Z http://agritrop.cirad.fr/556752/ http://agritrop.cirad.fr/556752/ A framework for integrated modeling using a knowledge-driven approach. Müller Jean Pierre. 2010. In : Modelling for environment's sake : Proceedings Firth Biennial Meeting of the International Environmental Modelling and Software Society (iEMSs 2010), Ottawa, Canada, 5-8 July 2010 (vol. 3). David A. Swayne, Wanhong Yang, Alexey A. Voinov, Andrea Rizzoli,. Guelph : IEMSS, 1877-1884. ISBN 978-88-9035-741-1 Conference of the International Environmental Modelling and Software Society. 5, Ottawa, Canada, 5 Juillet 2010/8 Juillet 2010. Researchers A framework for integrated modeling using a knowledge-driven approach Müller, Jean Pierre eng 2010 IEMSS Modelling for environment's sake : Proceedings Firth Biennial Meeting of the International Environmental Modelling and Software Society (iEMSs 2010), Ottawa, Canada, 5-8 July 2010 (vol. 3) U10 - Informatique, mathématiques et statistiques P01 - Conservation de la nature et ressources foncières U30 - Méthodes de recherche In this paper, we argue that integrated modeling is about integrating disciplinary discourses reflecting various points of view on a given system rather than only setting up a very complex model from the start, or putting together independently designed models. In our approach, we propose an integrated modeling environment, based on ontologies, to represent and articulate the various points of view. Accordingly the proposed framework, called MIMOSA, is based on two components: 1) a declarative component based on ontologies to describe the concepts, the modeled system using the described concepts, and its dynamics using an extensible set of formalisms, 2) an executive component based on DEVS (Discrete EVent System), used to map the declarative component into. Additionally, we describe the architecture to initialize and to observe the simulation. The originality lies in the way we are using ontologies and declarative modeling to design the model, the use of DEVS, as well as in supporting the whole process within a software platform. The approach is illustrated with a socio-ecological model for assessing the sustainability of community-based regulations in Madagascar. conference_item info:eu-repo/semantics/conferenceObject Conference info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/556752/1/document_556752.pdf application/pdf Cirad license info:eu-repo/semantics/restrictedAccess https://agritrop.cirad.fr/mention_legale.html http://catalogue-bibliotheques.cirad.fr/cgi-bin/koha/opac-detail.pl?biblionumber=192647 |
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U10 - Informatique, mathématiques et statistiques P01 - Conservation de la nature et ressources foncières U30 - Méthodes de recherche U10 - Informatique, mathématiques et statistiques P01 - Conservation de la nature et ressources foncières U30 - Méthodes de recherche |
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U10 - Informatique, mathématiques et statistiques P01 - Conservation de la nature et ressources foncières U30 - Méthodes de recherche U10 - Informatique, mathématiques et statistiques P01 - Conservation de la nature et ressources foncières U30 - Méthodes de recherche Müller, Jean Pierre A framework for integrated modeling using a knowledge-driven approach |
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In this paper, we argue that integrated modeling is about integrating disciplinary discourses reflecting various points of view on a given system rather than only setting up a very complex model from the start, or putting together independently designed models. In our approach, we propose an integrated modeling environment, based on ontologies, to represent and articulate the various points of view. Accordingly the proposed framework, called MIMOSA, is based on two components: 1) a declarative component based on ontologies to describe the concepts, the modeled system using the described concepts, and its dynamics using an extensible set of formalisms, 2) an executive component based on DEVS (Discrete EVent System), used to map the declarative component into. Additionally, we describe the architecture to initialize and to observe the simulation. The originality lies in the way we are using ontologies and declarative modeling to design the model, the use of DEVS, as well as in supporting the whole process within a software platform. The approach is illustrated with a socio-ecological model for assessing the sustainability of community-based regulations in Madagascar. |
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U10 - Informatique, mathématiques et statistiques P01 - Conservation de la nature et ressources foncières U30 - Méthodes de recherche |
author |
Müller, Jean Pierre |
author_facet |
Müller, Jean Pierre |
author_sort |
Müller, Jean Pierre |
title |
A framework for integrated modeling using a knowledge-driven approach |
title_short |
A framework for integrated modeling using a knowledge-driven approach |
title_full |
A framework for integrated modeling using a knowledge-driven approach |
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A framework for integrated modeling using a knowledge-driven approach |
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A framework for integrated modeling using a knowledge-driven approach |
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framework for integrated modeling using a knowledge-driven approach |
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IEMSS |
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http://agritrop.cirad.fr/556752/ http://agritrop.cirad.fr/556752/1/document_556752.pdf |
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AT mullerjeanpierre aframeworkforintegratedmodelingusingaknowledgedrivenapproach AT mullerjeanpierre frameworkforintegratedmodelingusingaknowledgedrivenapproach |
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1758022607187214336 |