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Converting property graphs to RDF: a preliminary study of the practical impact of different mappings

Authors:

Shahrzad Khayatbashi,

Sebastián Ferrada,

Olaf HartigAuthors Info & Claims

GRADES-NDA '22: Proceedings of the 5th ACM SIGMOD Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA)

Article No.: 10, Pages 1 - 9

https://doi.org/10.1145/3534540.3534695

Published: 12 June 2022 Publication History

Abstract

Today's space of graph database solutions is characterized by two main technology stacks that have evolved separate from one another: on one hand, there are systems that focus on supporting the RDF family of standards; on the other hand, there is the Property Graph category of systems. As a basis for bringing these stacks together and, in particular, to facilitate data exchange between the different types of systems, different direct mappings between the underlying graph data models have been introduced in the literature. While fundamental properties are well-documented for most of these mappings, the same cannot be said about the practical implications of choosing one mapping over another. Our research aims to contribute towards closing this gap. In this paper we report on a preliminary study for which we have selected two direct mappings from (Labeled) Property Graphs to RDF, where one of them uses features of the RDF-star extension to RDF. We compare these mappings in terms of the query performance achieved by two popular commercial RDF stores, GraphDB and Stardog, in which the converted data is imported. While we find that, for both of these systems, none of the mappings is a clear winner in terms of guaranteeing better query performance, we also identify types of queries that are problematic for the systems when using one mapping but not the other.

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Cited By

Angles RCalisto VDíaz JFerrada SHogan APinto AReutter JRojas CRosales-Méndez HSarmiento HToussaint EVrgoč D(2024)TelarKG: a Knowledge Graph of Chile's Constitutional ProcessProceedings of the 7th Joint Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA)10.1145/3661304.3661899(1-5)Online publication date: 14-Jun-2024
https://dl.acm.org/doi/10.1145/3661304.3661899
Di Pierro DFerilli SRedavid D(2023)LPG-Based Knowledge Graphs: A Survey, a Proposal and Current TrendsInformation10.3390/info1403015414:3(154)Online publication date: 1-Mar-2023
https://doi.org/10.3390/info14030154
Hose K(2023)Knowledge Engineering in the Era of Artificial IntelligenceAdvances in Databases and Information Systems10.1007/978-3-031-42914-9_1(3-15)Online publication date: 4-Sep-2023
https://dl.acm.org/doi/10.1007/978-3-031-42914-9_1

Index Terms

Converting property graphs to RDF: a preliminary study of the practical impact of different mappings
1. Information systems
  1. Data management systems

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Published In

cover image ACM Conferences

GRADES-NDA '22: Proceedings of the 5th ACM SIGMOD Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA)

June 2022

84 pages

ISBN:9781450393843

DOI:10.1145/3534540

Program Chairs:
Vasiliki Kalavri
Boston University
,
Semih Salihoğlu
University of Waterloo

Copyright © 2022 Owner/Author.

This work is licensed under a Creative Commons Attribution International 4.0 License.

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SIGMOD: ACM Special Interest Group on Management of Data

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 June 2022

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CENIIT
Swedish Research Council

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SIGMOD/PODS '22

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SIGMOD

SIGMOD/PODS '22: International Conference on Management of Data

June 12, 2022

Pennsylvania, Philadelphia

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Cited By

Angles RCalisto VDíaz JFerrada SHogan APinto AReutter JRojas CRosales-Méndez HSarmiento HToussaint EVrgoč D(2024)TelarKG: a Knowledge Graph of Chile's Constitutional ProcessProceedings of the 7th Joint Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA)10.1145/3661304.3661899(1-5)Online publication date: 14-Jun-2024
https://dl.acm.org/doi/10.1145/3661304.3661899
Di Pierro DFerilli SRedavid D(2023)LPG-Based Knowledge Graphs: A Survey, a Proposal and Current TrendsInformation10.3390/info1403015414:3(154)Online publication date: 1-Mar-2023
https://doi.org/10.3390/info14030154
Hose K(2023)Knowledge Engineering in the Era of Artificial IntelligenceAdvances in Databases and Information Systems10.1007/978-3-031-42914-9_1(3-15)Online publication date: 4-Sep-2023
https://dl.acm.org/doi/10.1007/978-3-031-42914-9_1

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