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Conceptually-grounded Mapping Patterns for Virtual Knowledge Graphs
Umeå University, Faculty of Science and Technology, Department of Computing Science. Free-University of Bozen-Bolzano, Bolzano, Italy.ORCID iD: 0000-0001-5174-9693
Technion - Israel Institute of Technology, Haifa, Israel.
Free-University of Bozen-Bolzano, Bolzano, Italy.
Free-University of Bozen-Bolzano, Bolzano, Italy.
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2022 (English)In: SEBD 2022: Italian Symposium on Advanced Database Systems: Proceedings of the 30th Italian Symposium on Advanced Database Systems / [ed] Giuseppe Amato; Valentina Bartalesi; Devis Bianchini; Claudio Gennaro; Riccardo Torlone, 2022, p. 85-92Conference paper, Published paper (Refereed)
Abstract [en]

Knowledge Graphs (KGs) have been gaining momentum recently in both academia and industry, due to the flexibility of their data model, allowing one to access and integrate collections of data of different forms. Virtual Knowledge Graphs (VKGs), a variant of KGs originating from the field of Ontology-based Data Access (OBDA), are a promising paradigm for integrating and accessing legacy data sources. The main idea of VKGs is that the KG remains virtual: the end-user interacts with a KG, but queries are reformulated on-the-fly as queries over the data source(s). To enable the paradigm, one needs to define declarative mappings specifying the link between the data sources and the elements in the VKG. In this work, we try to investigate common patterns that arise when specifying such mappings, building on well-established methodologies from the area of conceptual modeling and database design.

Place, publisher, year, edition, pages
2022. p. 85-92
Series
CEUR Workshop proceedings, ISSN 1613-0073
Keywords [en]
Data Integration, Mapping patterns, Ontology-based Data Access, Virtual Knowledge Graphs
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:umu:diva-199480Scopus ID: 2-s2.0-85137420307OAI: oai:DiVA.org:umu-199480DiVA, id: diva2:1697116
Conference
SEBD 2022, 30th Italian Symposium on Advanced Database Systems, Tirrenia, Italy, June 19-22, 2022
Funder
Wallenberg AI, Autonomous Systems and Software Program (WASP)Knut and Alice Wallenberg FoundationEU, Horizon 2020, 863410Available from: 2022-09-20 Created: 2022-09-20 Last updated: 2022-09-20Bibliographically approved

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Calvanese, Diego

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