Virtual Knowledge Graphs: An Overview of Systems and Use Cases | Zendy

Guohui Xiao | Zendy; Linfang Ding | Zendy; Benjamin Cogrel | Zendy; Diego Calvanese | Zendy

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Virtual Knowledge Graphs: An Overview of Systems and Use Cases

Author(s) -

Guohui Xiao,

Linfang Ding,

Benjamin Cogrel,

Diego Calvanese

Publication year - 2019

Publication title -

data intelligence

Language(s) - English

Resource type - Journals

eISSN - 2096-7004

pISSN - 2641-435X

DOI - 10.1162/dint_a_00011

Subject(s) - structuring , computer science , ontology , flexibility (engineering) , data science , domain knowledge , knowledge graph , domain (mathematical analysis) , knowledge integration , graph , theoretical computer science , human–computer interaction , knowledge management , artificial intelligence , mathematical analysis , philosophy , statistics , mathematics , finance , epistemology , economics

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.

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