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dc.contributor.authorFerreira, Anderson A.en
dc.contributor.authorGoncalves, Marcos Andreen
dc.contributor.authorAlmeida, Jussara M.en
dc.contributor.authorLaender, Alberto H.F.en
dc.contributor.authorVeloso, Adrianoen
dc.coverage.spatialGR - Κέρκυραen
dc.date.available2014-03-11T06:25:25Z
dc.date.issued2009
dc.identifier.urihttp://hdl.handle.net/10797/14005en
dc.descriptionΠεριέχει το πλήρες κείμενοel_GR
dc.description.abstractName ambiguity in the context of bibliographic citations is one of the hardest problems currently faced by the digital library community. Several methods have been proposed in the literature, but none of them provides the perfect solution for the problem. More importantly, basically all of these methods were tested in limited and restricted scenarios, which raises concerns about their practical applicability. In this work, we deal with these limitations by proposing a synthetic generator of ambiguous authorship records called SyGAR. The generator was validated against a gold standard collection of disambiguated records, and applied to evaluate three disambiguation methods in a relevant scenario.el_GR
dc.language.isoengen
dc.relation.ispartofPostersen
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.source13th European Conference, ECDL 2009en
dc.titleSyGAR – A Synthetic Data Generator for Evaluating Name Disambiguation Methodsen
dc.typeConference Objecten
dc.subject.JITAΔιαχείριση υπηρεσιών, λειτουργιών και τεχνικών πληροφόρησης, Δομές δεδομένων και μεταδεδομένωνel_GR
dc.subject.JITAInformation treatment for information services, Information functions and techniques, Data and metadata structuresen
dc.contributor.conferenceorganizerΤμήμα Αρχειονομίας και Βιβλιοθηκονομίας, Εργαστήριο Ψηφιακών Βιβλιοθηκών και Ηλεκτρονικής Δημοσίευσης, Ιόνιο Πανεπιστήμιοel_GR
dc.identifier.JITAIDen


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