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dc.contributor.authorLewis, Daviden
dc.contributor.authorPANDIT, HARSHVARDHAN JITENDRAen
dc.date.accessioned2018-03-08T12:21:00Z
dc.date.available2018-03-08T12:21:00Z
dc.date.created16 July 2016en
dc.date.issued2016en
dc.date.submitted2016en
dc.identifier.citationHarshvardhan J. Pandit, Ramisa Hamed, Seamus Lawless, David Lewis, The Use of Open Data to Improve the Repeatability of Adaptivity and Personalisation Experiment, 1st EvalUMAP workshop - Towards comparative evaluation in user modeling, adaptation and personalization, held in conjunction with the 24th Conference on User Modeling, Adaptation and Personalization, UMAP 2016, Halifax, canada, 16 July 2016, 2016en
dc.identifier.otherYen
dc.identifier.urihttp://hdl.handle.net/2262/82658
dc.descriptionPUBLISHEDen
dc.descriptionHalifax, canadaen
dc.description.abstractReproducibility of results is a key element for the verification of scientific experiments and an important indicator of the quality of a published experiment. It is vital therefore to precisely and transparently share both the method and the data associated with an experiment. Data associated with an experiment is often linked within peer-reviewed scientific publications, and is difficult to assess in a consistent manner. In this paper we explore how emerging linked data standards can be applied to the description and data of published adaptivity and personalisation experiments in a manner that can be linked from publications and easily located, accessed and reused to repeat an experiment. The approach also provides possibilities for published experiments to be extended or modified to provide a firmer grounding for publishing new results and conclusionsen
dc.description.sponsorshipThis work has been supported partially by the European Commission as part of the FALCON project (contact number 610879) and the ADAPT Centre for Digital Content Technology which is funded under the SFI Research Centres Programme (Grant 13/RC/2106) and is co-funded under the European Regional Development Fund.en
dc.language.isoenen
dc.rightsYen
dc.subjectLinked Open Data, Language Resourcesen
dc.titleThe Use of Open Data to Improve the Repeatability of Adaptivity and Personalisation Experimenten
dc.title.alternative1st EvalUMAP workshop - Towards comparative evaluation in user modeling, adaptation and personalization, held in conjunction with the 24th Conference on User Modeling, Adaptation and Personalization, UMAP 2016en
dc.typeConference Paperen
dc.contributor.sponsorScience Foundation Ireland (SFI)en
dc.type.supercollectionscholarly_publicationsen
dc.type.supercollectionrefereed_publicationsen
dc.identifier.peoplefinderurlhttp://people.tcd.ie/delewisen
dc.identifier.peoplefinderurlhttp://people.tcd.ie/pandithen
dc.identifier.rssinternalid185762en
dc.rights.ecaccessrightsopenAccess
dc.contributor.sponsorGrantNumber13/RC/2106en
dc.contributor.sponsorGrantNumber610879en
dc.subject.TCDThemeDigital Engagementen
dc.subject.TCDTagLinked Open Dataen
dc.identifier.rssurihttp://ceur-ws.org/Vol-1618/EvalUMAP_paper_5.pdfen
dc.identifier.orcid_id0000-0002-3503-4644en
dc.status.accessibleNen


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