Virtual Knowledge Graphs: An Overview of Systems and Use Cases

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...

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Bibliographic Details
Published inData intelligence Vol. 1; no. 3; pp. 201 - 223
Main Authors Xiao, Guohui, Ding, Linfang, Cogrel, Benjamin, Calvanese, Diego
Format Journal Article
LanguageEnglish
Published One Rogers Street, Cambridge, MA 02142-1209, USA MIT Press 01.06.2019
MIT Press Journals, The
Subjects
Data integration
Data virtualization
Flexibility
Graphs
Knowledge representation
Ontology
Ontology-based data access
Queries
Query formulation
Resource Description Framework-RDF
Rigid structures
Tooling
Virtual knowledge graph
Web Ontology Language-OWL
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Summary: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 applications. Finally, we discuss future research directions.
Bibliography:Summer, 2019
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ISSN:2641-435X
2641-435X
DOI:10.1162/dint_a_00011