Semantic simulations based on object-oriented analysis and modeling
Background. This is part of an ongoing set of studies to develop a framework and techniques for rich semantic modeling, based on traditional ontologies and upper ontologies. Such models should provide the basis for direct representation of complex texts such as scientific research reports and descri...
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sg-ntu-dr.10356-1544152021-12-22T20:11:13Z Semantic simulations based on object-oriented analysis and modeling Allen, Robert B. Library and information science Background. This is part of an ongoing set of studies to develop a framework and techniques for rich semantic modeling, based on traditional ontologies and upper ontologies. Such models should provide the basis for direct representation of complex texts such as scientific research reports and descriptions of historical events. Semantic models have been developed to describe mechanisms and explore how semantic models can be related to object-oriented programming languages. Objective. Object-oriented semantic modeling was applied to two simulations: of a waterfall and of the cardiopulmonary system. Issues related to the components of these models and their interaction were examined. Results. Complete executable models for the waterfall and the cardiopulmonary system examples are demonstrated. Specific recommendations are offered for handling States, Portions of Matter, Meta-Operators, and Systems. Published version 2021-12-22T06:17:57Z 2021-12-22T06:17:57Z 2020 Journal Article Allen, R. B. (2020). Semantic simulations based on object-oriented analysis and modeling. Library and Information Science Research E-Journal, 29(2), 109-122. https://dx.doi.org/10.32655/LIBRES.2019.2.4 1058-6768 https://hdl.handle.net/10356/154415 10.32655/LIBRES.2019.2.4 2 29 109 122 en Library and Information Science Research E-Journal © 2020 Robert B. Allen. All rights reserved. application/pdf |
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Library and information science Allen, Robert B. Semantic simulations based on object-oriented analysis and modeling |
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Background. This is part of an ongoing set of studies to develop a framework and techniques for rich semantic modeling, based on traditional ontologies and upper ontologies. Such models should provide the basis for direct representation of complex texts such as scientific research reports and descriptions of historical events. Semantic models have been developed to describe mechanisms and explore how semantic models can be related to object-oriented programming languages. Objective. Object-oriented semantic modeling was applied to two simulations: of a waterfall and of the cardiopulmonary system. Issues related to the components of these models and their interaction were examined. Results. Complete executable models for the waterfall and the cardiopulmonary system examples are demonstrated. Specific recommendations are offered for handling States, Portions of Matter, Meta-Operators, and Systems. |
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Article |
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Allen, Robert B. |
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Allen, Robert B. |
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Allen, Robert B. |
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Semantic simulations based on object-oriented analysis and modeling |
title_short |
Semantic simulations based on object-oriented analysis and modeling |
title_full |
Semantic simulations based on object-oriented analysis and modeling |
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Semantic simulations based on object-oriented analysis and modeling |
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Semantic simulations based on object-oriented analysis and modeling |
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semantic simulations based on object-oriented analysis and modeling |
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2021 |
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https://hdl.handle.net/10356/154415 |
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