Ontological user modelling and semantic rule-based reasoning for personalisation of Help-On-Demand services in pervasive environments

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dc.contributor.author Skillen, Kerry-Louise en
dc.contributor.author Chen, Liming en
dc.contributor.author Nugent, Chris en
dc.contributor.author Donnelly, Mark P. en
dc.contributor.author Burns, William en
dc.contributor.author Solheim, Ivar en
dc.date.accessioned 2017-03-20T15:29:10Z
dc.date.available 2017-03-20T15:29:10Z
dc.date.issued 2013-11-15
dc.identifier.citation Skillena, K. L. et al. (2014) Ontological user modelling and semantic rule-based reasoning for personalisation of Help-On-Demand services in pervasive environments. Future Generation Computer System (FGCS), 34, pp.97-109 en
dc.identifier.issn 0167-739X
dc.identifier.uri http://hdl.handle.net/2086/13753
dc.description The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link. en
dc.description.abstract Existing context-aware applications are limited in their support of user personalisation. Nevertheless, the increase in the use of context-aware technologies has sparked the growth in assistive applications resulting in a need to enable adaptation to reflect the changes in user behaviours. This paper introduces a systematic approach to service personalisation for mobile users in pervasive environments and presents a service-oriented distributed system architecture. The developed approach makes use of semantic technologies for user modelling and personalisation reasoning. In the paper we characterise user behaviours and needs in pervasive environments upon which ontological user models are created with special emphasis being placed on ontological modelling of dynamic and adaptive user profiles. We develop a rule-based personalisation mechanism that exploits semantic web rule mark-up language for rule design and a combination of semantic and rule-based reasoning for personalisation. We use two case studies focusing on providing personalised travel assistance for people using Help-on-Demand services deployed on a smart-phone to contextualise the discussions within the paper. The proposed approach is implemented in a prototype system, which includes Help-on-Demand services, content management services, user models and personalisation mechanisms in addition to application specific rules. Experiments have been designed and conducted to test and evaluate the approach with initial results demonstrating the functionality of the approach. en
dc.language.iso en en
dc.publisher Elsevier en
dc.subject Ontology en
dc.subject Personalisation en
dc.subject Context-awareness en
dc.subject User profile en
dc.subject SWRL en
dc.subject Rule-based reasoning en
dc.subject Help-On-Demand en
dc.subject User modelling en
dc.title Ontological user modelling and semantic rule-based reasoning for personalisation of Help-On-Demand services in pervasive environments en
dc.type Article en
dc.identifier.doi http://dx.doi.org/10.1016/j.future.2013.10.027
dc.peerreviewed Yes en
dc.funder N/A en
dc.projectid N/A en
dc.cclicence CC-BY-NC en
dc.date.acceptance 2013-11-15 en


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