Abstract
Drools is a popular and well known Java-based production rule system. Production rule systems, like Drools, present challenges when applied to large and complex systems. This industrial paper evaluates the prior art with regards to rulebase modularity and execution control. It then looks at how that can be applied to Drools and what further enhancements can be made. Consideration is given to ensure the work is more palatable for developers in a Java-based rule environment. Venus and RuleWorks are identified as two differing \textit{state of the art} systems. Venus provides a decoupling of rules and data as well as a declarative guard based system, without life cycle callbacks. RuleWorks provides imperative subroutines with lifecycle callbacks.
| Original language | English (US) |
|---|---|
| Title of host publication | Proceedings - IEEE 2nd International Conference on Artificial Intelligence and Knowledge Engineering, AIKE 2019 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 89-96 |
| Number of pages | 8 |
| ISBN (Electronic) | 9781728114880 |
| DOIs | |
| State | Published - Jun 1 2019 |
| Event | 2nd IEEE International Conference on Artificial Intelligence and Knowledge Engineering, AIKE 2019 - Cagliari, Sardinia, Italy Duration: Jun 3 2019 → Jun 5 2019 |
Publication series
| Name | Proceedings - IEEE 2nd International Conference on Artificial Intelligence and Knowledge Engineering, AIKE 2019 |
|---|
Conference
| Conference | 2nd IEEE International Conference on Artificial Intelligence and Knowledge Engineering, AIKE 2019 |
|---|---|
| Country | Italy |
| City | Cagliari, Sardinia |
| Period | 6/3/19 → 6/5/19 |
Fingerprint
Keywords
- Drools
- Execution-control
- Modularity
- Production-rule-system
- Rete
- Rule-engine
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Science Applications
- Information Systems and Management
Cite this
Rule modularity and execution control enhancements for a Java-based rule engine. / Proctor, Mark; Fusco, Mario; Vacchi, Edoardo; Sottara, Davide.
Proceedings - IEEE 2nd International Conference on Artificial Intelligence and Knowledge Engineering, AIKE 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 89-96 8791690 (Proceedings - IEEE 2nd International Conference on Artificial Intelligence and Knowledge Engineering, AIKE 2019).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Rule modularity and execution control enhancements for a Java-based rule engine
AU - Proctor, Mark
AU - Fusco, Mario
AU - Vacchi, Edoardo
AU - Sottara, Davide
PY - 2019/6/1
Y1 - 2019/6/1
N2 - Drools is a popular and well known Java-based production rule system. Production rule systems, like Drools, present challenges when applied to large and complex systems. This industrial paper evaluates the prior art with regards to rulebase modularity and execution control. It then looks at how that can be applied to Drools and what further enhancements can be made. Consideration is given to ensure the work is more palatable for developers in a Java-based rule environment. Venus and RuleWorks are identified as two differing \textit{state of the art} systems. Venus provides a decoupling of rules and data as well as a declarative guard based system, without life cycle callbacks. RuleWorks provides imperative subroutines with lifecycle callbacks.
AB - Drools is a popular and well known Java-based production rule system. Production rule systems, like Drools, present challenges when applied to large and complex systems. This industrial paper evaluates the prior art with regards to rulebase modularity and execution control. It then looks at how that can be applied to Drools and what further enhancements can be made. Consideration is given to ensure the work is more palatable for developers in a Java-based rule environment. Venus and RuleWorks are identified as two differing \textit{state of the art} systems. Venus provides a decoupling of rules and data as well as a declarative guard based system, without life cycle callbacks. RuleWorks provides imperative subroutines with lifecycle callbacks.
KW - Drools
KW - Execution-control
KW - Modularity
KW - Production-rule-system
KW - Rete
KW - Rule-engine
UR - http://www.scopus.com/inward/record.url?scp=85071477879&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85071477879&partnerID=8YFLogxK
U2 - 10.1109/AIKE.2019.00023
DO - 10.1109/AIKE.2019.00023
M3 - Conference contribution
AN - SCOPUS:85071477879
T3 - Proceedings - IEEE 2nd International Conference on Artificial Intelligence and Knowledge Engineering, AIKE 2019
SP - 89
EP - 96
BT - Proceedings - IEEE 2nd International Conference on Artificial Intelligence and Knowledge Engineering, AIKE 2019
PB - Institute of Electrical and Electronics Engineers Inc.
ER -