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dc.contributor.authorPratiwi, PS
dc.contributor.authorXu, Y
dc.contributor.authorLi, Y
dc.contributor.authorTrost, SG
dc.contributor.authorClanchy, KM
dc.contributor.authorTjondronegoro, D
dc.date.accessioned2020-01-14T07:00:05Z
dc.date.available2020-01-14T07:00:05Z
dc.date.issued2018
dc.identifier.issn1613-0073en_US
dc.identifier.urihttp://hdl.handle.net/10072/390263
dc.description.abstractIn recent years, e-coaching systems have played an increasingly significant role in promoting a healthy lifestyle and positive behavior change. Research efforts have grown to provide more useful and effective e-coaching systems for research or other purposes. The implementation of e-coaching systems resulting from these efforts utilizes several techniques including Artificial Intelligence (AI) methodologies. This study proposes a personalised approach to support an e-coaching system that is tailored to the user’s characteristics. A key component of this system comprises an ontological model of the user profile. The objective of this research was to propose an ontology that is able to collect and analyze the user related information as well as customize the profiles with the most appropriate coaching recommendation or materials. The ontology employed in this study was developed using the OWL (Ontology Web Language), a knowledge representation language for authoring ontologies. The effectiveness of this approach will be enhanced by filtering the information that was presented to the users.en_US
dc.description.peerreviewedYesen_US
dc.publisherRWTH Aachen Universityen_US
dc.publisher.urihttp://ceur-ws.org/Vol-2482/en_US
dc.relation.ispartofconferencename27th ACM International Conference on Information and Knowledge Management (CIKM 2018)en_US
dc.relation.ispartofconferencetitleProceedings of the CIKM 2018 Workshopsen_US
dc.relation.ispartofdatefrom2018-10-22
dc.relation.ispartofdateto2018-10-26
dc.relation.ispartoflocationTorino, Italyen_US
dc.relation.ispartofvolume2482en_US
dc.subject.fieldofresearchArtificial Intelligence and Image Processingen_US
dc.subject.fieldofresearchBioinformatics Softwareen_US
dc.subject.fieldofresearchcode0801en_US
dc.subject.fieldofresearchcode080301en_US
dc.titleUser profile ontology to support personalization for e-coaching systemsen_US
dc.typeConference outputen_US
dc.type.descriptionE1 - Conferencesen_US
dcterms.bibliographicCitationPratiwi, PS; Xu, Y; Li, Y; Trost, SG; Clanchy, KM; Tjondronegoro, D, User profile ontology to support personalization for e-coaching systems, Proceedings of the CIKM 2018 Workshops, 2018, 2482en_US
dcterms.licensehttp://creativecommons.org/licenses/by/4.0/en_US
dc.date.updated2020-01-14T06:54:33Z
dc.description.versionPublisheden_US
gro.rights.copyright© CIKM 2018 for the individual papers by the papers' authors & the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.en_US
gro.hasfulltextFull Text
gro.griffith.authorTjondronegoro, Dian W.
gro.griffith.authorClanchy, Kelly M.


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