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dc.rights.licenseopenen_US
dc.contributor.authorOSMAN, Ines
dc.contributor.authorPILEGGI, Salvatore Flavio
dc.contributor.authorBEN YAHIA, Sadok
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorDIALLO, Abdourahmane Gayo
ORCID: 0000-0002-9799-9484
IDREF: 112800084
dc.date.accessioned2021-10-12T07:35:03Z
dc.date.available2021-10-12T07:35:03Z
dc.date.issued2021-08
dc.identifier.issn2215-0161en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/112734
dc.description.abstractEnDespite the intense research activity in the last two decades, ontology integration still presents a number of challenging issues. As ontologies are continuously growing in number, complexity and size and are adopted within open distributed systems such as the Semantic Web, integration becomes a central problem and has to be addressed in a context of increasing scale and heterogeneity. In this paper, we describe a holistic alignment-based method for customized ontology integration. The holistic approach proposes additional challenges as multiple ontologies are jointly integrated at once, in contrast to most common approaches that perform an incremental pairwise ontology integration. By applying consolidated techniques for ontology matching, we investigate the impact on the resulting ontology. The proposed method takes multiple ontologies as well as pairwise alignments and returns a refactored/non-refactored integrated ontology that faithfully preserves the original knowledge of the input ontologies and alignments. We have tested the method on large biomedical ontologies from the LargeBio OAEI track. Results show effectiveness, and overall, a decreased integration cost over multiple ontologies.•OIAR and AROM are two implementations of the proposed method.•OIAR creates a bridge ontology, and AROM creates a fully merged ontology.•The implementation includes the option of ontology refactoring.
dc.language.isoENen_US
dc.rightsAttribution 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/*
dc.subject.enOntology
dc.subject.enOntology integration
dc.subject.enOntology merging
dc.subject.enOntology refactoring
dc.subject.enSemantic interoperability
dc.subject.enBridge ontology
dc.subject.enFull-Merge ontology
dc.title.enAn Alignment-Based Implementation of a Holistic Ontology Integration Method
dc.typeArticle de revueen_US
dc.identifier.doi10.1016/j.mex.2021.101460en_US
dc.subject.halSciences du Vivant [q-bio]/Santé publique et épidémiologieen_US
dc.identifier.pubmed34434866en_US
bordeaux.journalMethodsXen_US
bordeaux.page101460en_US
bordeaux.volume8en_US
bordeaux.hal.laboratoriesBordeaux Population Health Research Center (BPH) - UMR 1219en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionINSERMen_US
bordeaux.teamERIASen_US
bordeaux.teamSISTM_BPH
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
hal.identifierhal-03374339
hal.version1
hal.date.transferred2021-10-12T07:35:07Z
hal.exporttrue
dc.rights.ccPas de Licence CCen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=MethodsX&rft.date=2021-08&rft.volume=8&rft.spage=101460&rft.epage=101460&rft.eissn=2215-0161&rft.issn=2215-0161&rft.au=OSMAN,%20Ines&PILEGGI,%20Salvatore%20Flavio&BEN%20YAHIA,%20Sadok&DIALLO,%20Abdourahmane%20Gayo&rft.genre=article


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