Show simple item record

dc.contributor.authorTorres-Tramón, Pablo
dc.contributor.authorHayes, Conor
dc.identifier.citationTorres-Tramón P., Hayes C. (2018) A Random Walk Model for Entity Relatedness. In: Faron Zucker C., Ghidini C., Napoli A., Toussaint Y. (eds) Knowledge Engineering and Knowledge Management. EKAW 2018. Lecture Notes in Computer Science, vol 11313. Springer, Chamen_IE
dc.description.abstractSemantic relatedness is a critical measure for a wide variety of applications nowadays. Numerous models, including path-based, have been proposed for this task with great success in many applications during the last few years. Among these applications, many of them require computing semantic relatedness between hundreds of pairs of items as part of their regular input. This scenario demands a computationally efficient model to process hundreds of queries in short time spans. Unfortunately, Path-based models are computationally challenging, creating large bottlenecks when facing these circumstances. Current approaches for reducing this computation have focused on limiting the number of paths to consider between entities.en_IE
dc.description.sponsorshipThis publication has emanated from research conducted with the financial support of Science Foundation Ireland (SFI) under Grant No. SFI/12/RC/2289, co-funded by the European Regional Development Funden_IE
dc.publisherSpringer Verlagen_IE
dc.relation.ispartofKnowledge Engineering and Knowledge Managementen
dc.subjectEntity relatednessen_IE
dc.subjectPath-based semanticsen_IE
dc.subjectRandom walksen_IE
dc.titleA random walk model for entity relatednessen_IE
dc.contributor.funderScience Foundation Irelanden_IE
dc.contributor.funderEuropean Regional Development Funden_IE
dc.local.contactPablo Torres, Insight Centre For Data Analytics, , Ida Business Park, , Lower Dangan, , Galway. - Email:
dcterms.projectinfo:eu-repo/grantAgreement/SFI/SFI Research Centres/12/RC/2289/IE/INSIGHT - Irelands Big Data and Analytics Research Centre/en_IE

Files in this item

Attribution-NonCommercial-NoDerivs 3.0 Ireland
This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. Please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.

The following license files are associated with this item:


This item appears in the following Collection(s)

Show simple item record