56759 20200221144253.0 doi 10.1177/0165551515597364 sideral 95777 ART-2016-95777 eng (orcid)0000-0002-9886-5541 Renteria-Agualimpia, Walter Improving the geospatial consistency of digital libraries metadata 2016 Access copy available to the general public Unrestricted Consistency is an essential aspect of the quality of metadata. Inconsistent metadata records are harmful: given a themed query, the set of retrieved metadata records would contain descriptions of unrelated or irrelevant resources, and may even not contain some resources considered obvious. This is even worse when the description of the location is inconsistent. Inconsistent spatial descriptions may yield invisible or hidden geographical resources that cannot be retrieved by means of spatially themed queries. Therefore, ensuring spatial consistency should be a primary goal when reusing, sharing and developing georeferenced digital collections. We present a methodology able to detect geospatial inconsistencies in metadata collections based on the combination of spatial ranking, reverse geocoding, geographic knowledge organization systems and information-retrieval techniques. This methodology has been applied to a collection of metadata records describing maps and atlases belonging to the Library of Congress. The proposed approach was able to automatically identify inconsistent metadata records (870 out of 10,575) and propose fixes to most of them (91.5%) These results support the ability of the proposed methodology to assess the impact of spatial inconsistency in the retrievability and visibility of metadata records and improve their spatial consistency. info:eu-repo/grantAgreement/ES/DGA/INNOVA-A1-038-13 info:eu-repo/grantAgreement/ES/MINECO/TIN2012-37826-C02-01 info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 1.372 2016 INFORMATION SCIENCE & LIBRARY SCIENCE 36 / 85 = 0.424 2016 Q2 T2 COMPUTER SCIENCE, INFORMATION SYSTEMS 97 / 146 = 0.664 2016 Q3 T3 0.403 2016 Library and Information Sciences 2016 Q2 Information Systems 2016 Q2 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion (orcid)0000-0001-6491-7430 Lopez-Pellicer, Francisco J. Universidad de Zaragoza (orcid)0000-0003-3071-5819 Lacasta, Javier Universidad de Zaragoza (orcid)0000-0003-0215-5324 Muro-Medrano, Pedro R. (orcid)0000-0002-6557-2494 Zarazaga-Soria, F. Javier Universidad de Zaragoza 5007 570 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Lenguajes y Sistemas Inf. 42, 4 (2016), 507-523 J. inf. sci. JOURNAL OF INFORMATION SCIENCE 0165-5515 1394701 http://zaguan.unizar.es/record/56759/files/texto_completo.pdf Versión publicada 88795 http://zaguan.unizar.es/record/56759/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:56759 articulos driver 2020-02-21-13:28:46 ARTICLE