On using meta-modeling and multi-modeling to address complex problems

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dc.contributor.advisorLevis, Alexander H.
dc.contributor.authorAbu Jbara, Ahmed
dc.creatorAbu Jbara, Ahmed
dc.date.accessioned2013-08-19T21:16:49Z
dc.date.available2013-08-19T21:16:49Z
dc.date.issued2013-08
dc.description.abstractModels, created using different modeling techniques, usually serve different purposes and provide unique insights. While each modeling technique might be capable of answering specific questions, complex problems require multiple models interoperating to complement/supplement each other; we call this Multi-Modeling. To address the syntactic and semantic challenges of this multi-modeling approach for solving complex problems, a systematic methodology for developing multi-modeling workflows is presented. The approach is domain specific: Identification of the domain and the supporting modeling techniques is the first step. Then a Domain Specific Multi-Modeling Workflow Language (DSMWL), supported by a Domain Ontology, is developed and then used to construct workflows that capture interoperations between various models. The domain ontology provides semantic guidance to effect valid model interoperation. The approach is illustrated using a case study from the Drug Interdiction and Intelligence
dc.format.extent178 pages
dc.identifier.urihttps://hdl.handle.net/1920/8368
dc.language.isoen
dc.rightsCopyright 2013 Ahmed Abu Jbara
dc.subjectInformation technology
dc.subjectEngineering
dc.subjectComputer science
dc.subjectMeta-Modeling
dc.subjectModeling and Simulation
dc.subjectMulti-Modeling
dc.subjectSemantic Guidance
dc.titleOn using meta-modeling and multi-modeling to address complex problems
dc.typeDissertation
thesis.degree.disciplineInformation Technology
thesis.degree.grantorGeorge Mason University
thesis.degree.levelDoctoral

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