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dc.date.accessioned2018-10-25T08:43:09Z
dc.date.available2018-10-25T08:43:09Z
dc.date.created2017-11-17T22:59:48Z
dc.date.issued2017
dc.identifier.citationLembo, Domenico Rosati, Riccardo Santarelli, Valerio Savo, Domenico Fabio Thorstensen, Evgenij . Mapping Repair in Ontology-based Data Access Evolving Systems. Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence. 2017, 1160-1166 International Joint Conference on Artificial Intelligence
dc.identifier.urihttp://hdl.handle.net/10852/65278
dc.description.abstractIn this paper we study the evolution of ontologybased data access (OBDA) specifications, and focus on the case in which the ontology and/or the data source schema change, which may require a modification to the mapping between them to preserve both consistency and knowledge. Our approach is based on the idea of repairing the mapping according to the usual principle of minimal change and on a recent, mapping-based notion of consistency of the specification. We define and analyze two notions of mapping repair under ontology and source schema update. We then present a set of results on the complexity of query answering in the above framework, when the ontology is expressed in DL-LiteR. © 2017 Lawrence Erlbaum Associates, Inc.en_US
dc.languageEN
dc.publisherInternational Joint Conference on Artificial Intelligence
dc.relation.ispartofIJCAI International Joint Conference on Artificial Intelligence
dc.relation.ispartofseriesIJCAI International Joint Conference on Artificial Intelligence
dc.titleMapping Repair in Ontology-based Data Access Evolving Systemsen_US
dc.title.alternativeENEngelskEnglishMapping Repair in Ontology-based Data Access Evolving Systems
dc.typeChapteren_US
dc.creator.authorLembo, Domenico
dc.creator.authorRosati, Riccardo
dc.creator.authorSantarelli, Valerio
dc.creator.authorSavo, Domenico Fabio
dc.creator.authorThorstensen, Evgenij
cristin.unitcode185,15,5,37
cristin.unitnameAnalytiske systemer og resonnering
cristin.ispublishedtrue
cristin.fulltextpostprint
dc.identifier.cristin1515573
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.btitle=Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence&rft.spage=1160&rft.date=2017
dc.identifier.startpage1160
dc.identifier.endpage1166
dc.identifier.pagecount5253
dc.identifier.doihttp://dx.doi.org/10.24963/ijcai.2017/161
dc.identifier.urnURN:NBN:no-67802
dc.type.documentBokkapittelen_US
dc.type.peerreviewedPeer reviewed
dc.source.isbn978-0-9992411-0-3
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/65278/3/Lembo_et_al_IJCAI-17.pdf
dc.type.versionAcceptedVersion
cristin.btitleProceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence
dc.relation.projectNFR/237898


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