Conceptually-grounded Mapping Patterns for Virtual Knowledge Graphs (Discussion Paper)

Diego Calvanese, Avigdor Gal, Davide Lanti, Marco Montali, Alessandro Mosca, and Roee Shraga

Proc. of the 30th Italian Symp. on Advanced Database Systems (SEBD 2022). Volume 3194 of CEUR Workshop Proceedings, 2022.

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.

   title = "Conceptually-grounded Mapping Patterns for Virtual Knowledge
Graphs (Discussion Paper)",
   year = "2022",
   author = "Diego Calvanese and Avigdor Gal and Davide Lanti and Marco
Montali and Alessandro Mosca and Roee Shraga",
   booktitle = "Proc. of the 30th Italian Symp. on Advanced Database Systems
(SEBD 2022)",
   pages = "85--92",
   volume = "3194",
   publisher = "",
   series = "CEUR Workshop Proceedings,",
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