A Linked Data browser with recommendations

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dc.contributor.author Durao, Frederico
dc.contributor.author Bridge, Derek G.
dc.date.accessioned 2019-02-20T12:39:34Z
dc.date.available 2019-02-20T12:39:34Z
dc.date.issued 2018-12-17
dc.identifier.citation Durao, F. and Bridge, D. (2018) 'A Linked Data browser with recommendations', 2018 IEEE 30th International Conference on Tools with Artificial Intelligence (ICTAI), Volos, Greece, 5-7 November, pp. 189-196. doi:10.1109/ICTAI.2018.00038 en
dc.identifier.startpage 189 en
dc.identifier.endpage 196 en
dc.identifier.isbn 978-1-5386-7449-9
dc.identifier.isbn 978-1-5386-7450-5
dc.identifier.issn 2375-0197
dc.identifier.issn 1082-3409
dc.identifier.uri http://hdl.handle.net/10468/7527
dc.identifier.doi 10.1109/ICTAI.2018.00038
dc.description.abstract It is becoming more common to publish data in a way that accords with the Linked Data principles. In an effort to improve the human exploitation of this data, we propose a Linked Data browser that is enhanced with recommendation functionality. Based on a user profile, also represented as Linked Data, we propose a technique that we call LDRec that chooses in a personalized way which of the resources that lie within a certain neighbourhood in a Linked Data graph to recommend to the user. The recommendation technique, which is novel, is inspired by a collective classifier known as the Iterative Classification Algorithm. We evaluate LDRec using both an off-line experiment and a user trial. In the off-line experiment, we obtain higher hit rates than we obtain using a simpler classifier. In the user trial, comparing against the same simpler classifier, participants report significantly higher levels of overall satisfaction for LDRec. en
dc.description.uri http://ictai2018.org/ en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher Institute of Electrical and Electronics Engineers (IEEE) en
dc.relation.ispartof 30th International Conference on Tools with Artificial Intelligence (ICTAI 2018)
dc.relation.uri https://ieeexplore.ieee.org/document/8576036
dc.rights © 2018, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. en
dc.subject Graph theory en
dc.subject Iterative methods en
dc.subject Linked Data en
dc.subject Online front-ends en
dc.subject Pattern classification en
dc.subject Recommender systems en
dc.subject Semantic Web en
dc.subject User profile en
dc.subject LDRec en
dc.subject Linked Data graph en
dc.subject Recommendation technique en
dc.subject User trial en
dc.subject Linked Data browser en
dc.subject Linked Data principles en
dc.subject Recommendation functionality en
dc.subject Off-line experiment en
dc.subject Iterative classification en
dc.subject Browsers en
dc.subject Resource description framework en
dc.subject Motion pictures en
dc.subject Data models en
dc.subject Tools en
dc.subject Browsing en
dc.subject Recommending en
dc.subject Collective en
dc.subject Classification en
dc.subject Iterative en
dc.title A Linked Data browser with recommendations en
dc.type Conference item en
dc.internal.authorcontactother Derek Bridge, Computer Science, University College Cork, Cork, Ireland. +353-21-490-3000 Email: d.bridge@cs.ucc.ie en
dc.internal.availability Full text available en
dc.date.updated 2019-02-20T12:31:33Z
dc.description.version Accepted Version en
dc.internal.rssid 474293037
dc.contributor.funder Science Foundation Ireland en
dc.contributor.funder European Regional Development Fund en
dc.description.status Peer reviewed en
dc.internal.copyrightchecked Yes en
dc.internal.licenseacceptance Yes en
dc.internal.IRISemailaddress d.bridge@cs.ucc.ie en
dc.relation.project info:eu-repo/grantAgreement/SFI/SFI Research Centres/12/RC/2289/IE/INSIGHT - Irelands Big Data and Analytics Research Centre/ en


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