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.
%0 Generic
%1 Tommasini2024
%A Tommasini, Riccardo
%A Rost, Christopher
%A Bonifati, Angela
%A Della Valle, Emanuele
%A Rahm, Erhard
%A Hare, Keith W.
%A Plantikow, Stefan
%A Selmer, Petra
%A Voigt, Hannes
%B Companion of the 2024 International Conference on Management of Data
%C New York, NY, USA
%D 2024
%I Association for Computing Machinery
%K topic_graph area_bigdata
%P 492–495
%R 10.1145/3626246.3654744
%T Property Graph Stream Processing In Action with Seraph
%U https://doi.org/10.1145/3626246.3654744
%X 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.
%@ 9798400704222
@conference{Tommasini2024,
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.},
added-at = {2024-11-28T13:21:30.000+0100},
address = {New York, NY, USA},
author = {Tommasini, Riccardo and Rost, Christopher and Bonifati, Angela and Della Valle, Emanuele and Rahm, Erhard and Hare, Keith W. and Plantikow, Stefan and Selmer, Petra and Voigt, Hannes},
biburl = {https://puma.scadsai.uni-leipzig.de/bibtex/29f3b145aef65d8f29ba7baadba785200/scadsfct},
booktitle = {Companion of the 2024 International Conference on Management of Data},
day = 9,
doi = {10.1145/3626246.3654744},
interhash = {8c46edd861bfa02ab97790d43906b533},
intrahash = {9f3b145aef65d8f29ba7baadba785200},
isbn = {9798400704222},
keywords = {topic_graph area_bigdata},
location = {Santiago AA, Chile},
month = {6},
owner = {ericpeukert},
pages = {492–495},
pagetotal = {4},
publisher = {Association for Computing Machinery},
series = {SIGMOD/PODS '24},
timestamp = {2024-11-28T17:41:04.000+0100},
title = {Property Graph Stream Processing In Action with Seraph},
url = {https://doi.org/10.1145/3626246.3654744},
year = 2024
}
