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[conference paper]

dc.contributor.authorBackes, Tobiasde
dc.date.accessioned2018-12-04T15:46:35Z
dc.date.available2018-12-04T15:46:35Z
dc.date.issued2018de
dc.identifier.isbn978-1-4503-6014-2de
dc.identifier.urihttps://www.ssoar.info/ssoar/handle/document/60474
dc.description.abstractIn this work, we address the problem of blocking in the context of author name disambiguation. We describe a framework that formalizes different ways of name-matching to determine which names could potentially refer to the same author. We focus on name variations that follow from specifying a name with different completeness (i.e. full first name or only initial). We extend this framework by a simple way to define traditional, new and custom blocking schemes. Then, we evaluate different old and new schemes in the Web of Science. In this context we define and compare a new type of blocking schemes. Based on these results, we discuss the question whether name-matching can be used in blocking evaluation as a replacement of annotated author identifiers. Finally, we argue that blocking can have a strong impact on the application and evaluation of author disambiguation.de
dc.languageende
dc.subject.ddcPublizistische Medien, Journalismus,Verlagswesende
dc.subject.ddcNews media, journalism, publishingen
dc.subject.otherAuthor Disambiguation; Blocking; Name-Matchingde
dc.titleThe Impact of Name-Matching and Blocking on Author Disambiguationde
dc.description.reviewbegutachtet (peer reviewed)de
dc.description.reviewpeer revieweden
dc.source.collectionProceedings of the 27th ACM Conference on Information and Knowledge Managementde
dc.publisher.countryUSA
dc.publisher.cityNew Yorkde
dc.subject.classozInformationswissenschaftde
dc.subject.classozInformation Scienceen
dc.subject.thesozInformationssystemde
dc.subject.thesozinformation systemen
dc.subject.thesozinformation retrievalde
dc.subject.thesozinformation retrievalen
dc.subject.thesozMatchingde
dc.subject.thesozmatchingen
dc.subject.thesozComputerlinguistikde
dc.subject.thesozcomputational linguisticsen
dc.rights.licenceCreative Commons - Namensnennung, Nicht-kommerz., Weitergabe unter gleichen Bedingungen 4.0de
dc.rights.licenceCreative Commons - Attribution-NonCommercial-ShareAlike 4.0en
ssoar.contributor.institutionGESISde
internal.statusformal und inhaltlich fertig erschlossende
internal.identifier.thesoz10040380
internal.identifier.thesoz10047326
internal.identifier.thesoz10065155
internal.identifier.thesoz10040387
dc.type.stockincollectionde
dc.type.documentKonferenzbeitragde
dc.type.documentconference paperen
dc.source.pageinfo803-812de
internal.identifier.classoz1080500
internal.identifier.document16
dc.contributor.corporateeditorAssociation for Computing Machinery (ACM)
dc.source.conferenceACM International Conference on Information and Knowledge Management (CIKM) "From Big Data and Big Information to Big Knowledge"de
dc.event.cityTorinode
internal.identifier.corporateeditor689
internal.identifier.ddc070
dc.identifier.doihttps://doi.org/10.1145/3269206.3271699de
dc.date.conference2018de
dc.source.conferencenumber27de
dc.description.pubstatusVeröffentlichungsversionde
dc.description.pubstatusPublished Versionen
internal.identifier.licence36
internal.identifier.pubstatus1
internal.identifier.review1
ssoar.wgl.collectiontruede
internal.pdf.wellformedtrue
internal.pdf.encryptedfalse
ssoar.urn.registrationfalsede


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