TY - GEN
T1 - A continuous query language for stream-based artifacts
AU - Abi Assaf, Maroun
AU - Badr, Youakim
AU - Amghar, Youssef
N1 - Funding Information:
Acknowledgment. This work is generously supported by the Rhône-Alpes Region, through the “Big Data Platform Citizens Behaviors in Urban Worlds” project.
Publisher Copyright:
© 2017, Springer International Publishing AG.
PY - 2017
Y1 - 2017
N2 - Artifacts not only combine data and process into the same semantic entities that evolve according to precise state-based lifecycles, but they also provide casual users with a simple and intuitive framework for modeling, executing, and managing business processes. Despite the surge in interest, artifacts still lack effective languages and tools to define, manipulate and interrogate their instances. Most existing artifact languages and notations focuses only on modeling and executing artifact-based processes in which data have discrete values and fail to handle artifacts in which their data include continuous data streams. In this paper, we present the Continuous Artifact Query Language (CAQL) for modeling stream-based artifacts and semantically manipulating and interrogating their instances.
AB - Artifacts not only combine data and process into the same semantic entities that evolve according to precise state-based lifecycles, but they also provide casual users with a simple and intuitive framework for modeling, executing, and managing business processes. Despite the surge in interest, artifacts still lack effective languages and tools to define, manipulate and interrogate their instances. Most existing artifact languages and notations focuses only on modeling and executing artifact-based processes in which data have discrete values and fail to handle artifacts in which their data include continuous data streams. In this paper, we present the Continuous Artifact Query Language (CAQL) for modeling stream-based artifacts and semantically manipulating and interrogating their instances.
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U2 - 10.1007/978-3-319-64471-4_8
DO - 10.1007/978-3-319-64471-4_8
M3 - Conference contribution
AN - SCOPUS:85028473436
SN - 9783319644707
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 80
EP - 89
BT - Database and Expert Systems Applications - 28th International Conference, DEXA 2017, Proceedings
A2 - Damiani, Ernesto
A2 - Sheth, Amit
A2 - Grosky, William I.
A2 - Hameurlain, Abdelkader
A2 - Benslimane, Djamal
A2 - Wagner, Roland R.
PB - Springer Verlag
T2 - 28th International Conference on Database and Expert Systems Applications, DEXA 2017
Y2 - 28 August 2017 through 31 August 2017
ER -