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.
Mobile and Wireless technologies has been used in various areas, and it begins to have a huge impact on how education takes place in several disciplines. This technology has been improved considerably, making mobile devices extraordinarily suitable and reasonable in M-Learning a reality. Wireless Response System (WRS) is a developed generation of Student Response System (SRS). It uses devices that enable students and trainers to provide definite responses to many questions during the lesson with an immediate feedback to the students about their level of knowledge and understanding. However, teaching in Arabic language needs some specific features which have been included in the existing WRS and the steps of implementing them are considered in this paper. The developed version of WRS seeks to increase the users’ interactions and engagement through adding a new function to WRS which is Arabic language. Nevertheless, some universities and institutes in Arab world signed strategic corporations with mobile service providers to start this type of services for their education branches. This paper contains an analysis of ICT penetration and the level of m-learning environments in Arabic countries.
Information Science (IS) is an ambiguous field as its boundaries overlap with other domains such as Archive Science, Library Science and Computing Science which requires defined clear definition. This study creates a systematic and comprehensive ontology targeted to explore IS boundaries and foundations. This paper uses Mereotopolgy theory to describe classes, instances and their relations. The classes are created based on taxonomy of IS to create an asserted model of Information Science Ontology (ISO) that can be as a skeletal foundation for knowledge base. The main classes are Actors, Method, Practice, Studies, Mediate, Kinds, Domains, Resources, Legislation, Philosophy & Theories, Societal, Time, and Space. The design is based on Methontology to create ISO from scratch. Its framework facilitates the construction of ontology at the knowledge levels. It is found that identifying the IS boundaries through implementation ontology workflow is encoded using Protégé and Web Ontology Language (OWL) for formalizing and representation of the ISO. ISO is an effective way to represent knowledge and overcome semantic heterogeneity, ISO is a fundamental integration between semantic that realizes the interoperability information of the domain.
A Generic Model of Ontology to Visualize Information Science Domain(OIS)Original Citation Sawsaa, Ahlam (2013) A Generic Model of Ontology to Visualize Information Science Domain(OIS). Doctoral thesis, University of Huddersfield.This version is available at http://eprints.hud.ac.uk/id/eprint/17545/ The University Repository is a digital collection of the research output of the University, available on Open Access. Copyright and Moral Rights for the items on this site are retained by the individual author and/or other copyright owners. Users may access full items free of charge; copies of full text items generally can be reproduced, displayed or performed and given to third parties in any format or medium for personal research or study, educational or notforprofit purposes without prior permission or charge, provided:• The authors, title and full bibliographic details is credited in any copy;• A hyperlink and/or URL is included for the original metadata page; and • The content is not changed in any way.For more information, including our policy and submission procedure, please contact the Repository A great thanks also to all who gave me a helping hand to reach the end of my journey. V AbstractOntology has been a subject of many studies carried out in artificial intelligence ( While the bottom-up method starts with description of the domain to gain a hierarchal taxonomy.-Designing Ontocop system a novel method presented to support the developing process as specific virtual community of IS. The Ontocop consists of a number of experts in the subject area around the world. Their feedback and assessment improve the ontology development during the creating process.The findings of the research revealed that overall feedback from the IS community has been positive and that the model met the ontology quality criteria. It was appropriate to provide consistency and clear understanding of the subject area. OIS ontology unifies information science, which is composed of library science, computer science and archival science, by creating the theoretical base useful for further practical systems. Developing ontology of information science (OIS) is not an easy task, due to the complex nature of the field. It needs to be integrated with other ontologies such as social science, cognitive science, philosophy, law management and mathematics, to provide a basic knowledge for the semantic web and also to leverage information retrieval.
This chapter presents the development of OIS ontology and the main elements that formalised in OWL-DL. The OIS ontology followed Methontology as a general framework of methodology. The main result will be introduced, namely, the modelling design of OIS ontology which follows the description of the activities involved in designing the OIS ontology model. The OIS ontology model identifies the terms and definitions in the IS domain. Also, designing the ontocop system and how it can be a useful platform for supporting and assessing the OIS ontology. It starts by introducing OIS designing methodology. At the end of this chapter we will discuss how this tool will help to develop the OIS ontology to be modelled in a comprehensive and consistent manner.
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.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.