GGDs : Graph Generating Dependencies

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Abstract

We propose Graph Generating Dependencies (GGDs), a new class of dependencies for property graphs. Extending the expressivity of state of the art constraint languages, GGDs can express both tuple- and equality-generating dependencies on property graphs, both of which find broad application in graph data management. We provide the formal definition of GGDs, analyze the validation problem for GGDs, and demonstrate the practical utility of GGDs.

Original languageEnglish
Title of host publicationCIKM '20: Proceedings of the 29th ACM International Conference on Information & Knowledge Management
Place of PublicationNew York
PublisherAssociation for Computing Machinery, Inc
Pages2217-2220
Number of pages4
ISBN (Electronic)9781450368599
ISBN (Print)978-1-4503-6859-9
DOIs
Publication statusPublished - 19 Oct 2020
Event29th ACM International Conference on Information and Knowledge Management (CIKM) - 2020 -
Duration: 19 Oct 202023 Jan 2021

Publication series

NameInternational Conference on Information and Knowledge Management, Proceedings

Conference

Conference29th ACM International Conference on Information and Knowledge Management (CIKM) - 2020
Abbreviated titleCIKM
Period19/10/2023/01/21

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Keywords

  • equality-generating dependencies
  • graph dependencies
  • property graphs
  • tuple-generating dependencies

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