Virtual Knowledge Graphs: An Overview of Systems and Use Cases

Guohui Xiao, Linfang Ding, Benjamin Cogrel, Diego Calvanese
<span title="">2019</span> <i title="MIT Press - Journals"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/mwixoxlfy5gvpeuyrvsdqjyvym" style="color: black;">Data Intelligence</a> </i> &nbsp;
In this paper, we present the virtual knowledge graph (VKG) paradigm for data integration and access, also known in the literature as Ontology-based Data Access. Instead of structuring the integration layer as a collection of relational tables, the VKG paradigm replaces the rigid structure of tables with the flexibility of graphs that are kept virtual and embed domain knowledge. We explain the main notions of this paradigm, its tooling ecosystem and significant use cases in a wide range of
more &raquo; ... cations. Finally, we discuss future research directions. Integrating data and providing a convenient access to them are work-intensive, expensive but essential activities, as it is critical for organizations to be data-driven to stay competitive. From a technological point of view, the main vendors of data integration tools [1] are integrating data using the standard relational † Corresponding author: Linfang Ding (
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