Please use this identifier to cite or link to this item:
Title: Semantic simulations based on object-oriented analysis and modeling
Authors: Allen, Robert B.
Keywords: Library and information science
Issue Date: 2020
Source: Allen, R. B. (2020). Semantic simulations based on object-oriented analysis and modeling. Library and Information Science Research E-Journal, 29(2), 109-122.
Journal: Library and Information Science Research E-Journal 
Abstract: 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.
ISSN: 1058-6768
DOI: 10.32655/LIBRES.2019.2.4
Rights: © 2020 Robert B. Allen. All rights reserved.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:Library and Information Science Research E-journal (LIBRES)

Files in This Item:
File Description SizeFormat 
LIBRESv29i2p109-122.Allen_.2020.pdf313.27 kBAdobe PDFThumbnail

Page view(s)

Updated on Jan 20, 2022


Updated on Jan 20, 2022

Google ScholarTM




Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.