Conceptually-grounded Mapping Patterns for Virtual Knowledge Graphs

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

Research output: Contribution to journalConference articlepeer-review

Abstract

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.

Original languageEnglish
Pages (from-to)85-92
Number of pages8
JournalCEUR Workshop Proceedings
Volume3194
StatePublished - 2022
Event30th Italian Symposium on Advanced Database Systems, SEBD 2022 - Tirrenia, Italy
Duration: 19 Jun 202220 Jun 2022

Keywords

  • Data Integration
  • Mapping patterns
  • Ontology-based Data Access
  • Virtual Knowledge Graphs

All Science Journal Classification (ASJC) codes

  • General Computer Science

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