000056759 001__ 56759 000056759 005__ 20200221144253.0 000056759 0247_ $$2doi$$a10.1177/0165551515597364 000056759 0248_ $$2sideral$$a95777 000056759 037__ $$aART-2016-95777 000056759 041__ $$aeng 000056759 100__ $$0(orcid)0000-0002-9886-5541$$aRenteria-Agualimpia, Walter 000056759 245__ $$aImproving the geospatial consistency of digital libraries metadata 000056759 260__ $$c2016 000056759 5060_ $$aAccess copy available to the general public$$fUnrestricted 000056759 5203_ $$aConsistency is an essential aspect of the quality of metadata. Inconsistent metadata records are harmful: given a themed query, the set of retrieved metadata records would contain descriptions of unrelated or irrelevant resources, and may even not contain some resources considered obvious. This is even worse when the description of the location is inconsistent. Inconsistent spatial descriptions may yield invisible or hidden geographical resources that cannot be retrieved by means of spatially themed queries. Therefore, ensuring spatial consistency should be a primary goal when reusing, sharing and developing georeferenced digital collections. We present a methodology able to detect geospatial inconsistencies in metadata collections based on the combination of spatial ranking, reverse geocoding, geographic knowledge organization systems and information-retrieval techniques. This methodology has been applied to a collection of metadata records describing maps and atlases belonging to the Library of Congress. The proposed approach was able to automatically identify inconsistent metadata records (870 out of 10,575) and propose fixes to most of them (91.5%) These results support the ability of the proposed methodology to assess the impact of spatial inconsistency in the retrievability and visibility of metadata records and improve their spatial consistency. 000056759 536__ $$9info:eu-repo/grantAgreement/ES/DGA/INNOVA-A1-038-13$$9info:eu-repo/grantAgreement/ES/MINECO/TIN2012-37826-C02-01 000056759 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/ 000056759 590__ $$a1.372$$b2016 000056759 591__ $$aINFORMATION SCIENCE & LIBRARY SCIENCE$$b36 / 85 = 0.424$$c2016$$dQ2$$eT2 000056759 591__ $$aCOMPUTER SCIENCE, INFORMATION SYSTEMS$$b97 / 146 = 0.664$$c2016$$dQ3$$eT3 000056759 592__ $$a0.403$$b2016 000056759 593__ $$aLibrary and Information Sciences$$c2016$$dQ2 000056759 593__ $$aInformation Systems$$c2016$$dQ2 000056759 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion 000056759 700__ $$0(orcid)0000-0001-6491-7430$$aLopez-Pellicer, Francisco J.$$uUniversidad de Zaragoza 000056759 700__ $$0(orcid)0000-0003-3071-5819$$aLacasta, Javier$$uUniversidad de Zaragoza 000056759 700__ $$0(orcid)0000-0003-0215-5324$$aMuro-Medrano, Pedro R. 000056759 700__ $$0(orcid)0000-0002-6557-2494$$aZarazaga-Soria, F. Javier$$uUniversidad de Zaragoza 000056759 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf. 000056759 773__ $$g42, 4 (2016), 507-523$$pJ. inf. sci.$$tJOURNAL OF INFORMATION SCIENCE$$x0165-5515 000056759 8564_ $$s1394701$$uhttps://zaguan.unizar.es/record/56759/files/texto_completo.pdf$$yVersión publicada 000056759 8564_ $$s88795$$uhttps://zaguan.unizar.es/record/56759/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada 000056759 909CO $$ooai:zaguan.unizar.es:56759$$particulos$$pdriver 000056759 951__ $$a2020-02-21-13:28:46 000056759 980__ $$aARTICLE