Show simple item record

dc.contributor.authorAl-Tawil, M.*
dc.contributor.authorDimitrova, V.*
dc.contributor.authorThakker, Dhaval*
dc.date.accessioned2016-12-01T14:12:18Z
dc.date.available2016-12-01T14:12:18Z
dc.date.issued2015
dc.identifier.citationAl-Tawil M, Dimitrova V and Thakker D (2015) Using Basic Level Concepts in a Linked Data Graph to Detect User's Domain Familiarity. In: Proceedings of the 23rd Conference on User Modelling, Adaption and Personalization. 29 Jun-3 Jul, 2015, Trinity College, Dublin, Ireland.en_US
dc.identifier.urihttp://hdl.handle.net/10454/10872
dc.descriptionNoen_US
dc.description.abstractWe investigate how to provide personalized nudges to aid a user’s exploration of linked data in a way leading to expanding her domain knowledge. This requires a model of the user’s familiarity with domain concepts. The paper examines an approach to detect user domain familiarity by exploiting anchoring concepts which provide a backbone for probing interactions over the linked data graph. Basic level concepts studied in Cognitive Science are adopted. A user study examines how such concepts can be utilized to deal with the cold start user modelling problem, which informs a probing algorithm.en_US
dc.language.isoenen_US
dc.subjectLinked data; Knowledge utility; User modelling; Basic level conceptsen_US
dc.titleUsing Basic Level Concepts in a Linked Data Graph to Detect User's Domain Familiarityen_US
dc.status.refereedYesen_US
dc.typeConference paperen_US
dc.type.versionNo full-text in the repositoryen_US


Item file(s)

Thumbnail
Name:
al_tawil_et_al_2015.pdf
Size:
504.4Kb
Format:
PDF
Description:
Keep suppressed - no permission ...

This item appears in the following Collection(s)

Show simple item record