Property Graph Stream Processing In Action with Seraph
Authors: 
Riccardo Tommasini, Christopher Rost, 
Angela Bonifati, Emanuele Della Valle, 
Erhard Rahm, Keith W. Hare, Stefan Plantikow, Petra Selmer, Hannes VoigtAuthors Info & Claims
Riccardo Tommasini, Christopher Rost, Angela Bonifati, Emanuele Della Valle, Erhard Rahm, Keith W. Hare, Stefan Plantikow, Petra Selmer, Hannes VoigtAuthors Info & ClaimsPages 492 - 495
Abstract
Given the growing popularity of graphs, data models like Property Graph and corresponding query languages like Cypher, have become popular in industry and research. However, real-time graph data analysis and management are increasingly important for today's businesses. Still, graph query languages lack the features to handle streaming graph data and their continuous query evaluation. % This demonstration showcases Seraph, a Cypher-based language supporting native continuous querying features. Seraph is formally defined, declarative, and backwards compatible with Cypher. This demonstration gives a comprehensive overview of the language with three use cases and a carefully design Web UI, allowing the execution of continuous queries on the property graphs stream.
References
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Maciej Besta, Marc Fischer, Vasiliki Kalavri, Michael Kapralov, and Torsten Hoefler. Practice of streaming processing of dynamic graphs: Concepts, models, and systems. IEEE Trans. Parallel Distributed Syst., 34(6):1860--1876, 2023.
[2]
Lukasz Golab and M. Tamer Özsu. Data Stream Management. Synthesis Lectures on Data Management. Morgan & Claypool Publishers, 2010.
[3]
Anil Pacaci, Angela Bonifati, and M. Tamer Özsu. Evaluating complex queries on streaming graphs. In 38th IEEE International Conference on Data Engineering, ICDE 2022, Kuala Lumpur, Malaysia, May 9--12, 2022, pages 272--285. IEEE, 2022.
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Axel Polleres, Romana Pernisch, Angela Bonifati, Daniele Dell'Aglio, Daniil Dobriy, Stefania Dumbrava, Lorena Etcheverry, Nicolas Ferranti, Katja Hose, Ernesto Jiménez-Ruiz, Matteo Lissandrini, Ansgar Scherp, Riccardo Tommasini, and Johannes Wachs. How does knowledge evolve in open knowledge graphs? TGDK, 1(1):11:1--11:59, 2023.
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Christopher Rost, Kevin Gómez, Matthias Täschner, Philip Fritzsche, Lucas Schons, Lukas Christ, Timo Adameit, Martin Junghanns, and Erhard Rahm. Distributed temporal graph analytics with GRADOOP. VLDB J., 31(2):375--401, 2022.
[6]
Christopher Rost, Riccardo Tommasini, Angela Bonifati, Emanuele Della Valle, Erhard Rahm, Keith W. Hare, Stefan Plantikow, Petra Selmer, and Hannes Voigt. Seraph: Continuous queries on property graph streams. In Proceedings 27th International Conference on Extending Database Technology, EDBT 2024, Paestum, Italy, pages 234--247. OpenProceedings.org, 2024.
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Index Terms
- Property Graph Stream Processing In Action with Seraph
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Published In
June 2024
694 pages
ISBN:9798400704222
DOI:10.1145/3626246
- General Chairs:
- Pablo Barcelo,
- Nayat Sanchez-Pi,
- Program Chairs:
- Alexandra Meliou,
- S. Sudarshan
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Published: 09 June 2024
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- ANR - JCJC
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SIGMOD/PODS '24
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