Visualizing Information Science Knowledge by Modelling Domain Ontology (OIS)

Sawsaa, Ahlam and Lu, Joan (2013) Visualizing Information Science Knowledge by Modelling Domain Ontology (OIS). International Journal of Information Retrieval Research, 3 (4). pp. 52-80. ISSN 2155-6377

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Abstract

Information Science (IS) is one of the areas that need a unified ontology model to facilitate information in order
to access the heterogeneous data resources, and share a common understanding of the domain knowledge. The
aim of the study is to develop a generic model of ontology that serves as a foundation of knowledge modelling
for applications and aggregation with other ontologies. This study adopts the Methontology methodology to
develop an Ontology of Information Science (OIS). To support ontology development, the virtual community
of practice of Information science (Ontocop) was employed. The Ontology was coded using Protégé and the
OWL web ontology language. The main achievement of the study is that a new model of Information Science
Ontology (OIS) has been constructed, which is a generic model that contains only the key objects and associated
attributes with their relationships. The model defines the 706 concept, which will be widely used in
Information Science applications. The research reveals that OIS ontology is a model that meets the ontology
quality criteria for the subject area. It is concluded that OIS ontology unifies information science knowledge,
which is composed of Library, Computer, and Archival science, by creating a theoretical base that is useful
for further practical systems. The OIS ontology can be reused as the basis for any domain development.

Item Type:	Article
Subjects:	T Technology > T Technology (General) Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science
Schools:	School of Computing and Engineering > High-Performance Intelligent Computing > Information and Systems Engineering Group School of Computing and Engineering
Related URLs:	Author
Depositing User:	Ahlam Sawsaa
Date Deposited:	15 Jul 2014 13:39
Last Modified:	06 Apr 2018 17:02
URI:	http://eprints.hud.ac.uk/id/eprint/21158

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