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An ontological modelling of user requirements for personalised information provision

Author

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  • Lily Sun

    (University of Reading)

  • Khadidjatou Ousmanou

    (University of Reading)

  • Matthew Cross

    (University of Reading)

Abstract

The knowledge economy offers opportunity to a broad and diverse community of information systems users to efficiently gain information and know-how for improving qualifications and enhancing productivity in the work place. Such demand will continue and users will frequently require optimised and personalised information content. The advancement of information technology and the wide dissemination of information endorse individual users when constructing new knowledge from their experience in the real-world context. However, a design of personalised information provision is challenging because users’ requirements and information provision specifications are complex in their representation. The existing methods are not able to effectively support this analysis process. This paper presents a mechanism which can holistically facilitate customisation of information provision based on individual users’ goals, level of knowledge and cognitive styles preferences. An ontology model with embedded norms represents the domain knowledge of information provision in a specific context where users’ needs can be articulated and represented in a user profile. These formal requirements can then be transformed onto information provision specifications which are used to discover suitable information content from repositories and pedagogically organise the selected content to meet the users’ needs. The method is provided with adaptability which enables an appropriate response to changes in users’ requirements during the process of acquiring knowledge and skills.

Suggested Citation

  • Lily Sun & Khadidjatou Ousmanou & Matthew Cross, 2010. "An ontological modelling of user requirements for personalised information provision," Information Systems Frontiers, Springer, vol. 12(3), pages 337-356, July.
    • Handle: RePEc:spr:infosf:v:12:y:2010:i:3:d:10.1007_s10796-008-9144-x
    DOI: 10.1007/s10796-008-9144-x
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    References listed on IDEAS

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    1. Dongsong Zhang & Jay F. Nunamaker, 2003. "Powering E-Learning In the New Millennium: An Overview of E-Learning and Enabling Technology," Information Systems Frontiers, Springer, vol. 5(2), pages 207-218, April.
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    Cited by:

    1. I-Ching Hsu, 2013. "Personalized web feeds based on ontology technologies," Information Systems Frontiers, Springer, vol. 15(3), pages 465-479, July.
    2. Hui Huang & Xueguang Chen & Zhiwu Wang, 2015. "Failure recovery in distributed model composition with intelligent assistance," Information Systems Frontiers, Springer, vol. 17(3), pages 673-689, June.
    3. Álvaro Carrera & Carlos A. Iglesias & Mercedes Garijo, 2014. "Beast methodology: An agile testing methodology for multi-agent systems based on behaviour driven development," Information Systems Frontiers, Springer, vol. 16(2), pages 169-182, April.
    4. Chulhwan Chris Bang, 2015. "Information systems frontiers: Keyword analysis and classification," Information Systems Frontiers, Springer, vol. 17(1), pages 217-237, February.

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