Building an Advance Domain Ontology Model of Information Science (OIS)

Ahlam F. Sawsaa, Zhongyu Lu

Research output: Contribution to journalArticle

Abstract

The paper describes the process of modelling domain knowledge of Information Science (IS) by creating an Ontology of Information Science domain (OIS). It also reports on the life cycle of the ontology building process using Methontology, based on the IEEE standard for development software life cycle process, which mainly consists of: specification, conceptualization, formalization, implementation, maintenance and evaluation. The information resource used in acquisition and evaluation has been obtained from Information Science. The conceptualization consists of identifying IS concepts and grouping them into a hierarchy tree based on a faceted classification scheme. The OIS ontology is formalized by using the ontology editor Protégé to generate the ontology code. The achieved result is OIS ontology which has fourteen facets: Actors, Method, Practice, Studies, Mediator, Kinds, Domains, Resources, Legislation, Philosophy & Theories, Societal, Tool, Time and Space. The model is evaluated using ontology quality criteria to check the ontology’s usefulness, and how it could be transferred into application ontology for Information Science education.
LanguageEnglish
Pages258-266
Number of pages9
JournalInternational Journal of Digital Information and Wireless Communications
Volume4
Issue number2
DOIs
Publication statusPublished - 2014

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information science
ontology
life cycle
formalization
software development
evaluation
resources
grouping
editor
legislation
knowledge

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title = "Building an Advance Domain Ontology Model of Information Science (OIS)",
abstract = "The paper describes the process of modelling domain knowledge of Information Science (IS) by creating an Ontology of Information Science domain (OIS). It also reports on the life cycle of the ontology building process using Methontology, based on the IEEE standard for development software life cycle process, which mainly consists of: specification, conceptualization, formalization, implementation, maintenance and evaluation. The information resource used in acquisition and evaluation has been obtained from Information Science. The conceptualization consists of identifying IS concepts and grouping them into a hierarchy tree based on a faceted classification scheme. The OIS ontology is formalized by using the ontology editor Prot{\'e}g{\'e} to generate the ontology code. The achieved result is OIS ontology which has fourteen facets: Actors, Method, Practice, Studies, Mediator, Kinds, Domains, Resources, Legislation, Philosophy & Theories, Societal, Tool, Time and Space. The model is evaluated using ontology quality criteria to check the ontology’s usefulness, and how it could be transferred into application ontology for Information Science education.",
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author = "Sawsaa, {Ahlam F.} and Zhongyu Lu",
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Building an Advance Domain Ontology Model of Information Science (OIS). / Sawsaa, Ahlam F.; Lu, Zhongyu.

In: International Journal of Digital Information and Wireless Communications, Vol. 4, No. 2, 2014, p. 258-266.

Research output: Contribution to journalArticle

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AU - Sawsaa, Ahlam F.

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AB - The paper describes the process of modelling domain knowledge of Information Science (IS) by creating an Ontology of Information Science domain (OIS). It also reports on the life cycle of the ontology building process using Methontology, based on the IEEE standard for development software life cycle process, which mainly consists of: specification, conceptualization, formalization, implementation, maintenance and evaluation. The information resource used in acquisition and evaluation has been obtained from Information Science. The conceptualization consists of identifying IS concepts and grouping them into a hierarchy tree based on a faceted classification scheme. The OIS ontology is formalized by using the ontology editor Protégé to generate the ontology code. The achieved result is OIS ontology which has fourteen facets: Actors, Method, Practice, Studies, Mediator, Kinds, Domains, Resources, Legislation, Philosophy & Theories, Societal, Tool, Time and Space. The model is evaluated using ontology quality criteria to check the ontology’s usefulness, and how it could be transferred into application ontology for Information Science education.

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KW - web ontology

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