Domain Ontologies and the Conversion of Tacit Knowledge in Software Development

This study presents a proposal to build and analyze a domain ontology as a tool to support the knowledge transfer process in the context of software requirements analysis in the medical/pharmaceutical industry. The proposal is to use ontologies as an engineering artifact with the objective of repres...

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Main Authors: Euler Evangelista, Cristiana De Muÿlder
Format: Article
Language:English
Published: International Institute of Informatics and Cybernetics 2021-04-01
Series:Journal of Systemics, Cybernetics and Informatics
Subjects:
Online Access:http://www.iiisci.org/Journal/PDV/sci/pdfs/ZA284UX21.pdf
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author Euler Evangelista
Cristiana De Muÿlder
author_facet Euler Evangelista
Cristiana De Muÿlder
author_sort Euler Evangelista
collection DOAJ
description This study presents a proposal to build and analyze a domain ontology as a tool to support the knowledge transfer process in the context of software requirements analysis in the medical/pharmaceutical industry. The proposal is to use ontologies as an engineering artifact with the objective of representing knowledge in a specific domain, which, in the context of this research, is software modeling. A domain ontology is built to represent the requirements of a data warehouse/business intelligence software in the medical/pharmaceutical industry. The ontology-building process is supported by a specific methodology, defined with the purpose of building such artifacts, named "Methondology," and selected based on the research requirements. A prototype is created in the implementation phase of the ontology-building process. The results demonstrate that ontology domains can contribute to the process of analyzing and representing software requirements, as well as serving as a tool for organizational knowledge transfer through continuous knowledge conversion, which is critical for business sustainability. This study is an attempt to understand the knowledge conversion process in software development projects. Tacit knowledge is complex to articulate through formal language once it has been embedded with individual experience.
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spelling doaj.art-02b7192ece1f4ccb9de46b6c17d15d512022-12-22T01:38:09ZengInternational Institute of Informatics and CyberneticsJournal of Systemics, Cybernetics and Informatics1690-45242021-04-011924550Domain Ontologies and the Conversion of Tacit Knowledge in Software DevelopmentEuler EvangelistaCristiana De MuÿlderThis study presents a proposal to build and analyze a domain ontology as a tool to support the knowledge transfer process in the context of software requirements analysis in the medical/pharmaceutical industry. The proposal is to use ontologies as an engineering artifact with the objective of representing knowledge in a specific domain, which, in the context of this research, is software modeling. A domain ontology is built to represent the requirements of a data warehouse/business intelligence software in the medical/pharmaceutical industry. The ontology-building process is supported by a specific methodology, defined with the purpose of building such artifacts, named "Methondology," and selected based on the research requirements. A prototype is created in the implementation phase of the ontology-building process. The results demonstrate that ontology domains can contribute to the process of analyzing and representing software requirements, as well as serving as a tool for organizational knowledge transfer through continuous knowledge conversion, which is critical for business sustainability. This study is an attempt to understand the knowledge conversion process in software development projects. Tacit knowledge is complex to articulate through formal language once it has been embedded with individual experience.http://www.iiisci.org/Journal/PDV/sci/pdfs/ZA284UX21.pdf ontologyknowledge managementcomputer scienceinformation systemsinformation science
spellingShingle Euler Evangelista
Cristiana De Muÿlder
Domain Ontologies and the Conversion of Tacit Knowledge in Software Development
Journal of Systemics, Cybernetics and Informatics
ontology
knowledge management
computer science
information systems
information science
title Domain Ontologies and the Conversion of Tacit Knowledge in Software Development
title_full Domain Ontologies and the Conversion of Tacit Knowledge in Software Development
title_fullStr Domain Ontologies and the Conversion of Tacit Knowledge in Software Development
title_full_unstemmed Domain Ontologies and the Conversion of Tacit Knowledge in Software Development
title_short Domain Ontologies and the Conversion of Tacit Knowledge in Software Development
title_sort domain ontologies and the conversion of tacit knowledge in software development
topic ontology
knowledge management
computer science
information systems
information science
url http://www.iiisci.org/Journal/PDV/sci/pdfs/ZA284UX21.pdf
work_keys_str_mv AT eulerevangelista domainontologiesandtheconversionoftacitknowledgeinsoftwaredevelopment
AT cristianademuylder domainontologiesandtheconversionoftacitknowledgeinsoftwaredevelopment