dc.contributor.author | Backes, Tobias | de |
dc.date.accessioned | 2018-12-04T15:46:35Z | |
dc.date.available | 2018-12-04T15:46:35Z | |
dc.date.issued | 2018 | de |
dc.identifier.isbn | 978-1-4503-6014-2 | de |
dc.identifier.uri | https://www.ssoar.info/ssoar/handle/document/60474 | |
dc.description.abstract | In 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.language | en | de |
dc.subject.ddc | Publizistische Medien, Journalismus,Verlagswesen | de |
dc.subject.ddc | News media, journalism, publishing | en |
dc.subject.other | Author Disambiguation; Blocking; Name-Matching | de |
dc.title | The Impact of Name-Matching and Blocking on Author Disambiguation | de |
dc.description.review | begutachtet (peer reviewed) | de |
dc.description.review | peer reviewed | en |
dc.source.collection | Proceedings of the 27th ACM Conference on Information and Knowledge Management | de |
dc.publisher.country | USA | |
dc.publisher.city | New York | de |
dc.subject.classoz | Informationswissenschaft | de |
dc.subject.classoz | Information Science | en |
dc.subject.thesoz | Informationssystem | de |
dc.subject.thesoz | information system | en |
dc.subject.thesoz | information retrieval | de |
dc.subject.thesoz | information retrieval | en |
dc.subject.thesoz | Matching | de |
dc.subject.thesoz | matching | en |
dc.subject.thesoz | Computerlinguistik | de |
dc.subject.thesoz | computational linguistics | en |
dc.rights.licence | Creative Commons - Namensnennung, Nicht-kommerz., Weitergabe unter gleichen Bedingungen 4.0 | de |
dc.rights.licence | Creative Commons - Attribution-NonCommercial-ShareAlike 4.0 | en |
ssoar.contributor.institution | GESIS | de |
internal.status | formal und inhaltlich fertig erschlossen | de |
internal.identifier.thesoz | 10040380 | |
internal.identifier.thesoz | 10047326 | |
internal.identifier.thesoz | 10065155 | |
internal.identifier.thesoz | 10040387 | |
dc.type.stock | incollection | de |
dc.type.document | Konferenzbeitrag | de |
dc.type.document | conference paper | en |
dc.source.pageinfo | 803-812 | de |
internal.identifier.classoz | 1080500 | |
internal.identifier.document | 16 | |
dc.contributor.corporateeditor | Association for Computing Machinery (ACM) | |
dc.source.conference | ACM International Conference on Information and Knowledge Management (CIKM) "From Big Data and Big Information to Big Knowledge" | de |
dc.event.city | Torino | de |
internal.identifier.corporateeditor | 689 | |
internal.identifier.ddc | 070 | |
dc.identifier.doi | https://doi.org/10.1145/3269206.3271699 | de |
dc.date.conference | 2018 | de |
dc.source.conferencenumber | 27 | de |
dc.description.pubstatus | Veröffentlichungsversion | de |
dc.description.pubstatus | Published Version | en |
internal.identifier.licence | 36 | |
internal.identifier.pubstatus | 1 | |
internal.identifier.review | 1 | |
ssoar.wgl.collection | true | de |
internal.pdf.wellformed | true | |
internal.pdf.encrypted | false | |
ssoar.urn.registration | false | de |