short-paper

GGDs: Graph Generating Dependencies

Authors:

Larissa C. Shimomura,

George Fletcher,

Nikolay YakovetsAuthors Info & Claims

CIKM '20: Proceedings of the 29th ACM International Conference on Information & Knowledge Management

Pages 2217 - 2220

https://doi.org/10.1145/3340531.3412149

Published: 19 October 2020 Publication History

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.

References

[1]

Pablo Barceló, Jorge Pé rez, and Juan L. Reutter. 2013. Schema mappings and data exchange for graph databases. In ICDT. 189--200.

[2]

P. Bohannon, W. Fan, F. Geerts, X. Jia, and A. Kementsietsidis. 2007. Conditional functional dependencies for data cleaning. In ICDE. 746--755.

[3]

Angela Bonifati, George Fletcher, Hannes Voigt, and Nikolay Yakovets. 2018. Querying Graphs. Morgan & Claypool Publishers.

[4]

Angela Bonifati, Wim Martens, and Thomas Timm. 2020. An analytical study of large SPARQL query logs. VLDB J., Vol. 29, 2 (2020), 655--679.

[5]

Diego Calvanese, Wolfgang Fischl, Reinhard Pichler, Emanuel Sallinger, and Mantas vSimkus. 2014. Capturing relational schemas and functional dependencies in RDFS. In AAAI. 1003--1011.

[6]

Y. Cheng, L. Chen, Y. Yuan, and G. Wang. 2018. Rule-based graph repairing: semantic and efficient repairing methods. In ICDE. 773--784.

[7]

Wenfei Fan. 2019. Dependencies for Graphs: Challenges and Opportunities. J. Data and Information Quality, Vol. 11, 2 (2019), 5:1--5:12.

[8]

Wenfei Fan and Floris Geerts. 2012. Foundations of data quality management. Morgan & Claypool Publishers.

Digital Library

[9]

Wenfei Fan and Ping Lu. 2019. Dependencies for Graphs. ACM Trans. Database Syst., Vol. 44, 2, Article 5 (Feb. 2019), bibinfonumpages40 pages.

Digital Library

[10]

Wenfei Fan, Xin Wang, Yinghui Wu, and Jingbo Xu. 2015. Association rules with graph patterns. Proc. VLDB Endow., Vol. 8, 12 (2015), 1502--1513.

Digital Library

[11]

Wenfei Fan, Yinghui Wu, and Jingbo Xu. 2016. Functional Dependencies for Graphs. In SIGMOD. 1843--1857.

[12]

Nadime Francis and Leonid Libkin. 2017. Schema Mappings for Data Graphs. In PODS. 389--401.

[13]

Ihab F. Ilyas and Xu Chu. 2019. Data Cleaning. ACM.

Digital Library

[14]

Selasi Kwashie, Lin Liu, Jixue Liu, Markus Stumptner, Jiuyong Li, and Lujing Yang. 2019. Certus: An Effective Entity Resolution Approach with Graph Differential Dependencies (GDDs). Proc. VLDB Endow., Vol. 12, 6 (Feb. 2019), 653--666.

Digital Library

[15]

Reinhard Pichler, Axel Polleres, Sebastian Skritek, and Stefan Woltran. 2010. Redundancy Elimination on RDF Graphs in the Presence of Rules, Constraints, and Queries. In Web Reasoning and Rule Systems. 133--148.

[16]

Reinhard Pichler and Sebastian Skritek. 2011. The Complexity of Evaluating Tuple Generating Dependencies. In ICDT. 244--255.

[17]

Shaoxu Song and Lei Chen. 2011. Differential Dependencies: Reasoning and Discovery. ACM Trans. Database Syst., Vol. 36, 3, Article 16 (Aug. 2011), 41 pages.

Digital Library

Cited By

Skavantzos PLink S(2025)Third and Boyce–Codd normal form for property graphsThe VLDB Journal10.1007/s00778-025-00902-234:2Online publication date: 7-Feb-2025
https://doi.org/10.1007/s00778-025-00902-2
Bonifati AMurlak FRamusat Y(2024)Transforming Property GraphsProceedings of the VLDB Endowment10.14778/3681954.368197217:11(2906-2918)Online publication date: 30-Aug-2024
https://doi.org/10.14778/3681954.3681972
Shimomura LYakovets NFletcher GSerra ESpezzano F(2024)Discovering Graph Generating Dependencies for Property Graph ProfilingProceedings of the 33rd ACM International Conference on Information and Knowledge Management10.1145/3627673.3679764(2067-2076)Online publication date: 21-Oct-2024
https://dl.acm.org/doi/10.1145/3627673.3679764
Show More Cited By

Index Terms

GGDs: Graph Generating Dependencies
1. Information systems
  1. Data management systems

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Published In

cover image ACM Conferences

CIKM '20: Proceedings of the 29th ACM International Conference on Information & Knowledge Management

October 2020

3619 pages

ISBN:9781450368599

DOI:10.1145/3340531

General Chairs:
Mathieu d'Aquin
DSI, Insight, NUI Galway, Ireland
,
Stefan Dietze
GESIS, Cologne, Germany, Heinrich-Heine-University Düsseldorf, Germany, L3S Research Center, Germany
,
Program Chairs:
Claudia Hauff
TU Delft, The Netherlands
,
Edward Curry
DSI, Insight, NUI Galway, Ireland
,
Philippe Cudre Mauroux
eXascale, University of Fribourg, Switzerland

Copyright © 2020 ACM.

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New York, NY, United States

Publication History

Published: 19 October 2020

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European Union Horizon 2020

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CIKM '20

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CIKM '20: The 29th ACM International Conference on Information and Knowledge Management

October 19 - 23, 2020

Virtual Event, Ireland

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Overall Acceptance Rate 1,861 of 8,427 submissions, 22%

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CIKM '25

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The 34th ACM International Conference on Information and Knowledge Management

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Citations

Cited By

Skavantzos PLink S(2025)Third and Boyce–Codd normal form for property graphsThe VLDB Journal10.1007/s00778-025-00902-234:2Online publication date: 7-Feb-2025
https://doi.org/10.1007/s00778-025-00902-2
Bonifati AMurlak FRamusat Y(2024)Transforming Property GraphsProceedings of the VLDB Endowment10.14778/3681954.368197217:11(2906-2918)Online publication date: 30-Aug-2024
https://doi.org/10.14778/3681954.3681972
Shimomura LYakovets NFletcher GSerra ESpezzano F(2024)Discovering Graph Generating Dependencies for Property Graph ProfilingProceedings of the 33rd ACM International Conference on Information and Knowledge Management10.1145/3627673.3679764(2067-2076)Online publication date: 21-Oct-2024
https://dl.acm.org/doi/10.1145/3627673.3679764
Shimomura LYakovets NFletcher G(2024)Reasoning on property graphs with graph generating dependenciesInformation Sciences: an International Journal10.1016/j.ins.2024.120675672:COnline publication date: 1-Jun-2024
https://dl.acm.org/doi/10.1016/j.ins.2024.120675
Manouvrier MBelhajjame K(2024)PG-FD: Mapping Functional Dependencies to the Future Property Graph Schema StandardAdvances in Databases and Information Systems10.1007/978-3-031-70626-4_4(45-59)Online publication date: 28-Aug-2024
https://dl.acm.org/doi/10.1007/978-3-031-70626-4_4
Zada MYuan BAnjum AAzad MKhan WReiff-Marganiec S(2020)Large-scale Data Integration Using Graph Probabilistic Dependencies (GPDs)2020 IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT)10.1109/BDCAT50828.2020.00028(27-36)Online publication date: Dec-2020
https://doi.org/10.1109/BDCAT50828.2020.00028

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