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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.issn1613-0073
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.
dc.description.peerreviewedYes
dc.publisherRWTH Aachen University
dc.publisher.urihttp://ceur-ws.org/Vol-2482/
dc.relation.ispartofconferencename12th International Workshop on Data and Text Mining in Biomedical Informatics (DTMBio 2018) co-located with 27th ACM International Conference on Information and Knowledge Management (CIKM 2018):
dc.relation.ispartofconferencetitleCEUR Workshop Proceedings
dc.relation.ispartofdatefrom2018-10-22
dc.relation.ispartofdateto2018-10-26
dc.relation.ispartoflocationTorino, Italy
dc.relation.ispartofvolume2482
dc.subject.fieldofresearchArtificial Intelligence and Image Processing
dc.subject.fieldofresearchBioinformatics Software
dc.subject.fieldofresearchcode0801
dc.subject.fieldofresearchcode080301
dc.titleUser profile ontology to support personalization for e-coaching systems
dc.typeConference output
dc.type.descriptionE1 - Conferences
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, 2482
dcterms.licensehttp://creativecommons.org/licenses/by/4.0/
dc.date.updated2020-01-14T06:54:33Z
dc.description.versionPublished
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.
gro.hasfulltextFull Text
gro.griffith.authorTjondronegoro, Dian W.
gro.griffith.authorClanchy, Kelly M.


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