The Linked Data Benchmark Council (LDBC): Driving Competition and Collaboration in the Graph Data Management Space

Gábor Szárnyas*, Brad Bebee, Altan Birler, Alin Deutsch, George Fletcher, Henry A. Gabb, Denise Gosnell, Alastair Green, Zhihui Guo, Keith W. Hare, Jan Hidders, Alexandru Iosup, Atanas Kiryakov, Tomas Kovatchev, Xinsheng Li, Leonid Libkin, Heng Lin, Xiaojian Luo, Arnau Prat-Pérez, David PürojaShipeng Qi, Oskar van Rest, Benjamin A. Steer, Dávid Szakállas, Bing Tong, Jack Waudby, Mingxi Wu, Bin Yang, Wenyuan Yu, Chen Zhang, Jason Zhang, Yan Zhou, Peter Boncz

*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

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Abstract

Graph data management is instrumental for several use cases such as recommendation, root cause analysis, financial fraud detection, and enterprise knowledge representation. Efficiently supporting these use cases yields a number of unique requirements, including the need for a concise query language and graph-aware query optimization techniques. The goal of the Linked Data Benchmark Council (LDBC) is to design a set of standard benchmarks that capture representative categories of graph data management problems, making the performance of systems comparable and facilitating competition among vendors. LDBC also conducts research on graph schemas and graph query languages. This paper introduces the LDBC organization and its work over the last decade.

Original languageEnglish
Title of host publicationPerformance Evaluation and Benchmarking
Subtitle of host publication15th TPC Technology Conference, TPCTC 2023, Vancouver, BC, Canada, August 28 – September 1, 2023, Revised Selected Papers
EditorsRaghunath Nambiar, Meikel Poess
PublisherSpringer Science and Business Media Deutschland GmbH
Pages90-106
Number of pages17
ISBN (Electronic)9783031680311
ISBN (Print)9783031680304
DOIs
Publication statusPublished - 2024
Event15th TPC Technology Conference on Performance Evaluation and Benchmarking, TPCTC 2023, held concurrently with the 49th International Conference on Very Large Data Bases, VLDB 2023 - Vancouver, Canada
Duration: 28 Aug 20231 Sept 2023

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14247 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349
NameTPCTC: Technology Conference on Performance Evaluation and Benchmarking
PublisherSpringer
Volume2023

Conference

Conference15th TPC Technology Conference on Performance Evaluation and Benchmarking, TPCTC 2023, held concurrently with the 49th International Conference on Very Large Data Bases, VLDB 2023
Country/TerritoryCanada
CityVancouver
Period28/08/231/09/23

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

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