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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Main Author: Allen, Robert B.
Format: Article
Language:English
Published: 2021
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Online Access:https://hdl.handle.net/10356/154415
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Institution: Nanyang Technological University
Language: English
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spelling 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
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Library and information science
spellingShingle Library and information science
Allen, Robert B.
Semantic simulations based on object-oriented analysis and modeling
description 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.
format Article
author Allen, Robert B.
author_facet Allen, Robert B.
author_sort Allen, Robert B.
title 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
title_fullStr Semantic simulations based on object-oriented analysis and modeling
title_full_unstemmed Semantic simulations based on object-oriented analysis and modeling
title_sort semantic simulations based on object-oriented analysis and modeling
publishDate 2021
url https://hdl.handle.net/10356/154415
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