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dc.contributor.authorAl-Tawil, M.*
dc.contributor.authorDimitrova, V.*
dc.contributor.authorThakker, Dhaval*
dc.contributor.authorBennett, B.*
dc.date.accessioned2016-12-01T14:23:56Z
dc.date.available2016-12-01T14:23:56Z
dc.date.issued2016
dc.identifier.citationAl-Tawil M, Dimitrova V, Thakker D and Bennett B (2016) Identifying Knowledge Anchors in a Data Graph. In: Proceedings of the 27th ACM Conference on Hypertext and Social Media (HT '16) 10-13 Jul 2016, Halifax, Canada. ACM, New York, NY, USA: 189-194.en_US
dc.identifier.urihttp://hdl.handle.net/10454/10873
dc.descriptionYesen_US
dc.description.abstractThe recent growth of the Web of Data has brought to the fore the need to develop intelligent means to support user exploration through big data graphs. To be effective, approaches for data graph exploration should take into account the utility from a user’s point of view. We have been investigating knowledge utility – how useful the trajectories in a data graph are for expanding users’ knowledge. Following the theory for meaningful learning, according to which new knowledge is developed starting from familiar entities (anchors) and expanding to new and unfamiliar entities, we propose here an approach to identify knowledge anchors in a data graph. Our approach is underpinned by the Cognitive Science notion of basic level objects in domain taxonomies. Several metrics for extracting knowledge anchors in a data graph, and the corresponding algorithms, are presented. The metrics performance is examined, and a hybridization approach that combines the strengths of each metric is proposed.en_US
dc.language.isoenen_US
dc.relation.isreferencedbyhttp://ceur-ws.org/Vol-1628/en_US
dc.rights© 2016 ACM. Full-text reproduced in accordance with the publisher’s self-archiving policy.en_US
dc.subjectData graphs; Exploratory research; Knowledge utility; Basic level objectsen_US
dc.titleIdentifying Knowledge Anchors in a Data Graphen_US
dc.status.refereedYesen_US
dc.typeConference paperen_US
dc.type.versionAccepted Manuscripten_US
refterms.dateFOA2018-07-25T15:45:02Z


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