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Ontology-based update in virtual knowledge graphs via schema mapping recovery
Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.ORCID-id: 0009-0008-5036-2452
Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap. Faculty of Engineering, Free University of Bozen-Bolzano, Bolzano, Italy.ORCID-id: 0000-0001-5174-9693
2024 (Engelska)Ingår i: Rules and Reasoning: 8th International Joint Conference, RuleML+RR 2024, Bucharest, Romania, September 16–18, 2024, Proceedings, Springer Nature, 2024, s. 59-74Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

In Virtual Knowledge Graphs (VKGs), access to a relational data source is provided through an ontology, which is linked to the data source via declarative mappings. VKGs stand as a predominant paradigm for the access to (and integration of) heterogeneous data sources. However, little attention has been paid so far to the issue of updates in VKGs expressed over the ontology, which represents a crucial feature for fully managing data sources through the lens of an ontology. In this paper, we consider the problem of updating a VKG instance by specifying a set of insertions and deletions of ontology instances and propagating these updates to the underlying data source through the VKG mapping. We consider ontologies specified in the DL-LiteR lightweight ontology language and study the problem for the case where source queries in mappings are unions of conjunctive queries. We rely on the notion of maximum recovery of VKG mappings, borrowed from the data exchange setting, and propose methods to compute the set of source updates that translate an ontology update with a minimal side-effect, considering both insertions and deletions of multiple ABox assertions.

Ort, förlag, år, upplaga, sidor
Springer Nature, 2024. s. 59-74
Serie
Lecture Notes in Computer Science, ISSN 03029743, E-ISSN 16113349 ; 15183
Nyckelord [en]
Knowledge Representation, Ontology-based Data Access, View Updates, Virtual Knowledge Graph (VKG)
Nationell ämneskategori
Datavetenskap (datalogi)
Identifikatorer
URN: urn:nbn:se:umu:diva-230585DOI: 10.1007/978-3-031-72407-7_6ISI: 001329984900006Scopus ID: 2-s2.0-85205112822ISBN: 978-3-031-72406-0 (tryckt)ISBN: 978-3-031-72407-7 (digital)OAI: oai:DiVA.org:umu-230585DiVA, id: diva2:1904205
Konferens
8th International Joint Conference on Rules and Reasoning, RuleML+RR 2024, Bucharest, Romania, September 16-18, 2024
Forskningsfinansiär
Wallenberg AI, Autonomous Systems and Software Program (WASP)
Anmärkning

Included in the following conference series:

International Joint Conference on Rules and Reasoning.

Tillgänglig från: 2024-10-08 Skapad: 2024-10-08 Senast uppdaterad: 2025-04-24Bibliografiskt granskad

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Wandji, Romuald EsdrasCalvanese, Diego

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Totalt: 151 träffar
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