ReGraDa: Reactive Graph Data

Leandro Galrinho; João Costa Seco; Søren Debois; Thomas Hildebrandt; Håkon Norman; Tijs Slaats

doi:10.1007/978-3-030-78142-2_12

ReGraDa: Reactive Graph Data

Leandro Galrinho, João Costa Seco^*, Søren Debois, Thomas Hildebrandt, Håkon Norman, Tijs Slaats

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

5 Citations (Scopus)

Abstract

Business processes, data, and run-time control state are all key elements in the design of enterprise applications. However, the different layers for processes, data, and control are usually represented using different technologies that must be explicitly combined and kept in sync. We introduce ReGraDa, a process definition and programming language inspired by the declarative business process language Dynamic Condition Response Graphs and targeting the integrated description of business processes, data and run-time state as reactive graph data. ReGraDa processes compile directly to a data-centric graph-based system (neo4j/cypher), allowing for the database system to manage a process without the need for an external execution engine. The underlying graph structure allows for the definition of native data relations between data elements that subsumes the integrity guaranties of relational and the semi-structured data models. Graph relationships are also used to represent data-dependency and control-flow in the database. We present the reactive semantics of the language, a translation from ReGraDa to cypher, evaluate its performance, and briefly discuss future work and applications.

Original language	English
Title of host publication	Coordination Models and Languages - 23rd IFIP WG 6.1 International Conference, COORDINATION 2021, Held as Part of the 16th International Federated Conference on Distributed Computing Techniques, DisCoTec 2021, Proceedings
Editors	Ferruccio Damiani, Ornela Dardha
Publisher	Springer
Publication date	2021
Pages	188-205
ISBN (Print)	9783030781415
DOIs	https://doi.org/10.1007/978-3-030-78142-2_12
Publication status	Published - 2021
Event	23rd IFIP WG 6.1 International Conference on Coordination Models and Languages, COORDINATION 2021 held as part of 16th International Federated Conference on Distributed Computing Techniques, DisCoTec 2021 - Virtual, Online Duration: 14 Jun 2021 → 18 Jun 2021

Conference

Conference	23rd IFIP WG 6.1 International Conference on Coordination Models and Languages, COORDINATION 2021 held as part of 16th International Federated Conference on Distributed Computing Techniques, DisCoTec 2021
City	Virtual, Online
Period	14/06/2021 → 18/06/2021

Series	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12717 LNCS
ISSN	0302-9743

Bibliographical note

Publisher Copyright:
© 2021, IFIP International Federation for Information Processing.

Access to Document

10.1007/978-3-030-78142-2_12

Cite this

Galrinho, L., Seco, J. C., Debois, S., Hildebrandt, T., Norman, H., & Slaats, T. (2021). ReGraDa: Reactive Graph Data. In F. Damiani, & O. Dardha (Eds.), Coordination Models and Languages - 23rd IFIP WG 6.1 International Conference, COORDINATION 2021, Held as Part of the 16th International Federated Conference on Distributed Computing Techniques, DisCoTec 2021, Proceedings (pp. 188-205). Springer. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 12717 LNCS https://doi.org/10.1007/978-3-030-78142-2_12

ReGraDa : Reactive Graph Data. / Galrinho, Leandro; Seco, João Costa; Debois, Søren; Hildebrandt, Thomas; Norman, Håkon; Slaats, Tijs.

Coordination Models and Languages - 23rd IFIP WG 6.1 International Conference, COORDINATION 2021, Held as Part of the 16th International Federated Conference on Distributed Computing Techniques, DisCoTec 2021, Proceedings. ed. / Ferruccio Damiani; Ornela Dardha. Springer, 2021. p. 188-205 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 12717 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Galrinho, L, Seco, JC, Debois, S, Hildebrandt, T, Norman, H & Slaats, T 2021, ReGraDa: Reactive Graph Data. in F Damiani & O Dardha (eds), Coordination Models and Languages - 23rd IFIP WG 6.1 International Conference, COORDINATION 2021, Held as Part of the 16th International Federated Conference on Distributed Computing Techniques, DisCoTec 2021, Proceedings. Springer, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12717 LNCS, pp. 188-205, 23rd IFIP WG 6.1 International Conference on Coordination Models and Languages, COORDINATION 2021 held as part of 16th International Federated Conference on Distributed Computing Techniques, DisCoTec 2021, Virtual, Online, 14/06/2021. https://doi.org/10.1007/978-3-030-78142-2_12

Galrinho L, Seco JC, Debois S, Hildebrandt T, Norman H, Slaats T. ReGraDa: Reactive Graph Data. In Damiani F, Dardha O, editors, Coordination Models and Languages - 23rd IFIP WG 6.1 International Conference, COORDINATION 2021, Held as Part of the 16th International Federated Conference on Distributed Computing Techniques, DisCoTec 2021, Proceedings. Springer. 2021. p. 188-205. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 12717 LNCS). https://doi.org/10.1007/978-3-030-78142-2_12

Galrinho, Leandro ; Seco, João Costa ; Debois, Søren ; Hildebrandt, Thomas ; Norman, Håkon ; Slaats, Tijs. / ReGraDa : Reactive Graph Data. Coordination Models and Languages - 23rd IFIP WG 6.1 International Conference, COORDINATION 2021, Held as Part of the 16th International Federated Conference on Distributed Computing Techniques, DisCoTec 2021, Proceedings. editor / Ferruccio Damiani ; Ornela Dardha. Springer, 2021. pp. 188-205 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 12717 LNCS).

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