Using SWRL and ontological reasoning for the personalization of context-aware assistive services

Kerry-Louise Skillen, Liming Chen, Chris Nugent, Mark Donnelly, William Burns, Ivar Solheim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The prevalence and advancements of existing context-aware applications are limited in their support of personalization for the user. The increase in the use of context-aware technologies has sparked growth in assistive applications and there is now a need to enable the adaptation of such technologies to reflect the changes in user behaviors. This paper describes the conceptualization and development of a personalization mechanism that can be integrated into a context-aware application for the purposes of providing an adaptable, mobile-based service to a user. We highlight the use of an ontological User Profile Model to provide a detailed representation of a user for use within adaptive applications. Special emphasis is placed on the use of rule-based reasoning using the Semantic Web Rule Language (SWRL). The paper details how these rules are created and used alongside the User Profile for the purposes of application personalization. We present a case study to illustrate the use of SWRL within the User Profile Model. Specifically, the case study focuses on providing personalized travel assistance to older users, with the use of self-service ticket machines via an `on-demand' context-aware smart-phone.
Original languageEnglish
Title of host publicationUnknown Host Publication
Place of PublicationNew York
PublisherAssociation for Computing Machinery
Pages1
Number of pages8
DOIs
Publication statusPublished - 2013
Event6th International Conference on PErvasive Technologies Related to Assistive Environments - Greece
Duration: 1 Jan 2013 → …

Conference

Conference6th International Conference on PErvasive Technologies Related to Assistive Environments
Period1/01/13 → …

Fingerprint Dive into the research topics of 'Using SWRL and ontological reasoning for the personalization of context-aware assistive services'. Together they form a unique fingerprint.

  • Cite this

    Skillen, K-L., Chen, L., Nugent, C., Donnelly, M., Burns, W., & Solheim, I. (2013). Using SWRL and ontological reasoning for the personalization of context-aware assistive services. In Unknown Host Publication (pp. 1). Association for Computing Machinery. https://doi.org/10.1145/2504335.2504386