Thakker, D, Lau, L, Denaux, R et al. (3 more authors) (2014) Using DBpedia as a knowledge source for culture-related user modelling questionnaires. In: Dimitrova, V, Kuflik, T, Chin, D, Ricci, F, Dolog, P and Houben, G-J, (eds.) User Modeling, Adaptation, and Personalization 22nd International Conference, UMAP 2014, Proceedings. 22nd International Conference, UMAP 2014, 07-11 Jul 2014, Aalborg, Denmark. Lecture Notes in Computer Science . Springer , 207 - 218 (10). ISBN 978-3-319-08785-6
Abstract
In the culture domain, questionnaires are often used to obtain profiles of users for adaptation. Creating questionnaires requires subject matter experts and diverse content, and often does not scale to a variety of cultures and situations. This paper presents a novel approach that is inspired by crowdwisdom and takes advantage of freely available structured linked data. It presents a mechanism for extracting culturally-related facts from DBpedia, utilised as a knowledge source in an interactive user modelling system. A user study, which examines the system usability and the accuracy of the resulting user model, demonstrates the potential of using DBpedia for generating culture-related user modelling questionnaires and points at issues for further investigation.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © 2014, Springer. This is an author produced version of a paper published in Lecture notes in computer science. Uploaded in accordance with the publisher's self-archiving policy. The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-08786-3_18 |
Keywords: | Crowdsourcing; Cultural variations; Linked Data and personalization |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) > Artificial Intelligence & Biological Systems (Leeds) The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) > Institute for Computational and Systems Science (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 09 Jan 2015 12:26 |
Last Modified: | 19 Dec 2022 13:30 |
Published Version: | http://dx.doi.org/10.1007/978-3-319-08786-3_18 |
Status: | Published |
Publisher: | Springer |
Series Name: | Lecture Notes in Computer Science |
Refereed: | Yes |
Identification Number: | 10.1007/978-3-319-08786-3_18 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:82321 |