An ontological modelling of user requirements for personalised information provision

Sun, Lily; Ousmanou, Khadidjatou; Cross, Matthew

doi:10.1007/s10796-008-9144-x

Cited by 15 publications

(5 citation statements)

References 28 publications

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“…Such ontology represents a static conceptualisation of the domain which enables embodiment of norms specifying patterns of behaviour. Organisational Semiotics (OS), for example, provides heavyweight ontology modelling [15,18,19]. Key concepts used to devise an ontology model in Organisational Semiotics include:…”

Section: Formalisms For Knowledge Representationmentioning

confidence: 99%

Information Analytics for Healthcare Service Discovery

Sun¹,

Yamin²,

Mushi³

et al. 2014

Journal of Healthcare Engineering

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The concept of being 'patient-centric' is a challenge to many existing healthcare service provision practices. This paper focuses on the issue of referrals, where multiple stakeholders, such as General Practitioners (GPs) and patients, are encouraged to make a consensual decision based on patients' needs. In this paper, we present an ontology-enabled healthcare service provision, which facilitates both patients and GPs in jointly deciding upon the referral decision. In the healthcare service provision model, we define three types of profiles which represent different stakeholders' requirements. This model also comprises a set of healthcare service discovery processes: articulating a service need, matching the need with the healthcare service offerings, and deciding on a best-fit service for acceptance. As a result, the healthcare service provision can carry out coherent analysis using personalised information and iterative processes that deal with requirements which change over time.

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Section: Formalisms For Knowledge Representationmentioning

confidence: 99%

Information Analytics for Healthcare Service Discovery

Sun¹,

Yamin²,

Mushi³

et al. 2014

Journal of Healthcare Engineering

Self Cite

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“…1, depicts the knowledge of G2C service provision. The model comprises of a set of semantic units, each of which is normally formed by the basic concepts of agent, role, affordance, and determiner [14] [9]. An agent is drawn with a shape of an ellipse and represents a stakeholder such as an individual (person), a group (organisation) or a community (nation, society).…”

Section: Ontological Modelling For the Requirements Of Service Provisionmentioning

confidence: 99%

Conceptual Modelling for Requirements of Government to Citizen Service Provision

Sun

Mushi

Alsoud

2011

Information Systems Development

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Government to citizen (G2C) service provision is demanded to fit for purpose for users. A process of finding services from a G2C system involves understanding of the user's request, selecting the relevant services, and deciding amongst the candidate services to meet the user's needs. Some current approaches, such as benchmarking methods, are capable of measuring the service quality in the quantitative manner. However, G2C services also have intangible features which can be measured qualitatively. In this paper, a method is described to model the requirements of G2C services and their provision. To facilitate a service provision process, a set of criteria is identified and used to ensure the quality of the resultant services. An ontology model developed represents requirements of service provision in a web service environment that involves service consumers, service providers, and service advisor. Interactions between these stakeholders are defined by norms which generate workflows for executing the functions in the techniques. An experiment using DEA is carried out in this paper based on quantitative criteria to validate the method and its techniques, i.e. articulates, derives and pre-selects. The pre-selected services as the candidates are further evaluated with the contribution of the qualitative features of the services by using analytical hierarchical process (AHP) to decide for winning services.

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“…DeS reflects the pedagogical strategies which will be used for a formulation of information provision specifications [27]. Consequently, the specifications will be used to discover information content from the repositories and assemble the content in a package.…”

Section: Users Cognitive Characteristics In Knowledge Constructionmentioning

confidence: 99%

“…2, based on the principles of [13,27] is designed to represent the personalised information provision in the application domain of lifelong learning. In this model, the affordance of articulates and maps transform the user needs onto the information provision requirements in the form of IS selection , IS sequencing and IS presentation .…”

Section: Knowledge Construction Modelmentioning

confidence: 99%

Case-based analysis in user requirements modelling for knowledge construction

Sun

Mushi

2010

Information and Software Technology

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a b s t r a c tContext: Learning can be regarded as knowledge construction in which prior knowledge and experience serve as basis for the learners to expand their knowledge base. Such a process of knowledge construction has to take place continuously in order to enhance the learners' competence in a competitive working environment. As the information consumers, the individual users demand personalised information provision which meets their own specific purposes, goals, and expectations. Objectives: The current methods in requirements engineering are capable of modelling the common user's behaviour in the domain of knowledge construction. The users' requirements can be represented as a case in the defined structure which can be reasoned to enable the requirements analysis. Such analysis needs to be enhanced so that personalised information provision can be tackled and modelled. However, there is a lack of suitable modelling methods to achieve this end. This paper presents a new ontological method for capturing individual user's requirements and transforming the requirements onto personalised information provision specifications. Hence the right information can be provided to the right user for the right purpose. Method: An experiment was conducted based on the qualitative method. A medium size of group of users participated to validate the method and its techniques, i.e. articulates, maps, configures, and learning content. The results were used as the feedback for the improvement. Result: The research work has produced an ontology model with a set of techniques which support the functions for profiling user's requirements, reasoning requirements patterns, generating workflow from norms, and formulating information provision specifications. Conclusion: The current requirements engineering approaches provide the methodical capability for developing solutions. Our research outcome, i.e. the ontology model with the techniques, can further enhance the RE approaches for modelling the individual user's needs and discovering the user's requirements.

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An ontological modelling of user requirements for personalised information provision

Cited by 15 publications

References 28 publications

Information Analytics for Healthcare Service Discovery

Information Analytics for Healthcare Service Discovery

Conceptual Modelling for Requirements of Government to Citizen Service Provision

Case-based analysis in user requirements modelling for knowledge construction

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