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dc.contributor.authorGiacomo, Giuseppe De
dc.contributor.authorOriol Hilari, Xavier
dc.contributor.authorRosati, Riccardo
dc.contributor.authorSavo, Domenico Fabio
dc.contributor.otherFacultat d'Informàtica de Barcelona
dc.date.accessioned2021-05-27T15:05:12Z
dc.date.available2021-05-27T15:05:12Z
dc.date.issued2021-04-10
dc.identifier.citationGiacomo, G. [et al.]. Instance-level update in DL-Lite ontologies through first-order rewriting. "Journal of artificial intelligence research", 10 Abril 2021, vol. 70, p. 1335-1371.
dc.identifier.issn1076-9757
dc.identifier.urihttp://hdl.handle.net/2117/346233
dc.description.abstractIn this paper we study instance-level update in DL-LiteA , a well-known description logic that influenced the OWL 2 QL standard. Instance-level update regards insertions and deletions in the ABox of an ontology. In particular we focus on formula-based approaches to instance-level update. We show that DL-LiteA , which is well-known for enjoying first-order rewritability of query answering, enjoys a first-order rewritability property also for instance-level update. That is, every update can be reformulated into a set of insertion and deletion instructions computable through a non-recursive Datalog program with negation. Such a program is readily translatable into a first-order query over the ABox considered as a database, and hence into SQL. By exploiting this result, we implement an update component for DL-LiteA-based systems and perform some experiments showing that the approach works in practice.
dc.description.sponsorshipThis work was partly supported by the EU within the H2020 Programme under the grant agreement 834228 (ERC Advanced Grant WhiteMech), the grant agreement 952215 (TAILOR), and the grant agreement 825333 (MOSAICrOWN). Moreover, it is partly supported by Ministerio de Economia, Industria y Competitividad under the grant agreement TIN2017-87610-R (REMEDiAL), by the Generalitat de Catalunya under the grant agreement 2017-SGR-1749, and by Regione Lombardia within the Call Hub Ricerca e Innovazione under the grant agreement 1175328 (WATCHMAN).
dc.format.extent37 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Representació del coneixement
dc.subject.lcshKnowledge representation (Information theory)
dc.subject.lcshOntologies (Information retrieval)
dc.subject.lcshSemantic web
dc.subject.otherDescription logics
dc.subject.otherIntelligent databases
dc.titleInstance-level update in DL-Lite ontologies through first-order rewriting
dc.typeArticle
dc.subject.lemacRepresentació del coneixement (Teoria de la informació)
dc.subject.lemacOntologies (Informàtica)
dc.subject.lemacWeb semàntica
dc.contributor.groupUniversitat Politècnica de Catalunya. IMP - Information Modeling and Processing
dc.identifier.doi10.1613/jair.1.12414
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://www.jair.org/index.php/jair/article/view/12414
dc.rights.accessOpen Access
local.identifier.drac31758004
dc.description.versionPostprint (published version)
dc.relation.projectidinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TIN2017-87610-R/ES/RAZONAMIENTO AUTOMATICO, EJECUCION DE MODELOS Y ANALISIS DE DATOS A PARTIR DE ONTOLOGIAS/
dc.relation.projectidinfo:eu-repo/grantAgreement/AGAUR/2017 SGR 1749
local.citation.authorGiacomo, G.; Oriol, X.; Rosati, R.; Savo, D.
local.citation.publicationNameJournal of artificial intelligence research
local.citation.volume70
local.citation.startingPage1335
local.citation.endingPage1371


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