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dc.date.accessioned2019-04-23T12:32:34Z
dc.date.available2019-04-23T12:32:34Z
dc.date.created2018-09-24T15:03:34Z
dc.date.issued2018
dc.identifier.citationLupp, Daniel Paul Thorstensen, Evgenij . Mapping Data to Ontologies with Exceptions Using Answer Set Programming. NIK: Norsk Informatikkonferanse. 2018
dc.identifier.urihttp://hdl.handle.net/10852/67781
dc.description.abstractIn ontology-based data access (OBDA), databases are connected to an ontology via mappings from queries over the database to queries over the ontology. In this paper, we define an ASP-based semantics for mappings from relational databases to first-order ontologies, augmented with queries over the ontology in the mapping rule bodies. The resulting formalism can be described as ”ASP modulo theories”, and can be used to express constraints and exceptions in OBDA systems, as well as being a powerful mechanism for succinctly representing OBDA mappings. Furthermore, we show that brave reasoning in this setting has either the same data complexity as ASP, or is at least as hard as the complexity of checking entailment for the ontology queries. Moreover, despite the interaction of ASP rules and the ontology, most properties of ASP are preserved. Finally, we show that for ontologies with UCQ-rewritable queries there exists a natural reduction from our framework to ASP with existential variables.en_US
dc.languageEN
dc.relation.ispartofLupp, Daniel Paul (2019) A Higher-Level View of Ontological Modeling: Rule-Based Approaches for Data Transformation, Modeling, and Maintenance. Doctoral thesis. http://hdl.handle.net/10852/70592
dc.relation.urihttp://hdl.handle.net/10852/70592
dc.titleMapping Data to Ontologies with Exceptions Using Answer Set Programmingen_US
dc.typeJournal articleen_US
dc.creator.authorLupp, Daniel Paul
dc.creator.authorThorstensen, Evgenij
cristin.unitcode185,15,5,37
cristin.unitnameAnalytiske systemer og resonnering
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.cristin1613049
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=NIK: Norsk Informatikkonferanse&rft.volume=&rft.spage=&rft.date=2018
dc.identifier.jtitleNIK: Norsk Informatikkonferanse
dc.identifier.urnURN:NBN:no-70942
dc.type.documentTidsskriftartikkelen_US
dc.type.peerreviewedPeer reviewed
dc.source.issn1892-0713
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/67781/1/Mapping%2BData%2Bto%2BOntologies.pdf
dc.type.versionPublishedVersion
dc.relation.projectNFR/237898
dc.relation.projectNFR/230525


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