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dc.rights.licenseopenen_US
dc.contributor.authorPEZZONI, M.
hal.structure.identifierGroupe de Recherche en Economie Théorique et Appliquée [GREThA]
dc.contributor.authorLISSONI, Francesco
IDREF: 170727300
dc.contributor.authorTARASCONI, G.
dc.date.accessioned2020-02-18T09:51:42Z
dc.date.available2020-02-18T09:51:42Z
dc.date.issued2014
dc.identifier.issn1389130en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/3491
dc.description.abstractEnInventor disambiguation is an increasingly important issue for users of patent data. We propose and test a number of refinements to the original Massacrator algorithm, originally proposed by Lissoni et al. (The keins database on academic inventors: methodology and contents, 2006) and now applied to APE-INV, a free access database funded by the European Science Foundation. Following Raffo and Lhuillery (Res Policy 38:1617–1627, 2009) we describe disambiguation as a three step process: cleaning&parsing, matching, and filtering. By means of sensitivity analysis, based on MonteCarlo simulations, we show how various filtering criteria can be manipulated in order to obtain optimal combinations of precision and recall (type I and type II errors). We also show how these different combinations generate different results for applications to studies on inventors’ productivity, mobility, and networking; and discuss quality issues related to linguistic issues. The filtering criteria based upon information on inventors’ addresses are sensitive to data quality, while those based upon information on co-inventorship networks are always effective. Details on data access and data quality improvement via feedback collection are also discussed.
dc.language.isoENen_US
dc.subject.enInventors
dc.subject.enName disambiguation
dc.subject.enPatent data
dc.title.enHow to kill inventors: testing the Massacrator© algorithm for inventor disambiguation
dc.title.alternativeScientometricsen_US
dc.typeArticle de revueen_US
dc.identifier.doi10.1007/s11192-014-1375-7
dc.subject.halÉconomie et finance quantitative [q-fin]en_US
bordeaux.journalScientometricsen_US
bordeaux.page477-504en_US
bordeaux.volume101en_US
bordeaux.hal.laboratoriesGroupe de Recherche en Economie Théorique et Appliquée (GREThA) - UMR 5113en_US
bordeaux.issue1en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
hal.identifierhal-03122461
hal.version1
hal.date.transferred2021-01-27T08:23:12Z
hal.exporttrue
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