Visual Design of Drools Rule Bases Using the XTT2 Method

Authors: Krzysztof Kaczor, Grzegorz J. Nalepa, Łukasz Łysik, Krzysztof Kluza

Abstract: Drools is one of the most popular expert system frameworks. It uses rules in several formats as knowledge representation. However, Drools has several limitations. It does not support visual modeling of rules. Moreover, it does not assure quality of the knowledge base. In this paper an alternative way of knowledge base designing for Drools is proposed. The method extends the Drools design process by using the XTT2 rule representation and the HQEd visual rule editor. To deal with the differences between the XTT2 and Drools representations, the Drools Export Plugin for HQEd has been implemented. The proposed approach overcomes limitations of the Drools design methodology. Furthermore, it provides a visual rule design editor for Drools and supports formal verification of the model using an optional module.

Keywords: Drools, Drools Flow, jBPM, Business Rules

Paper: http://www.springerlink.com/content/h544g4238716m320/

Cite as:

Kaczor, K., Nalepa, G.J., Łysik, Ł., Kluza, K.: Visual Design of Drools Rule Bases Using the XTT2 Method. In Katarzyniak, R., Chiu, T.-F., Hong, C.-F., Nguyen, N.T., eds.: Semantic Methods for Knowledge Management and Communication. Studies in Computational Intelligence vol. 381. Berlin, Heildelberg, Springer-Verlag, pp. 57-66 (2011)

Bibtex:

@incollection {kaczor2011drools,
	author = {Krzysztof Kaczor and Grzegorz J. Nalepa and Łukasz Łysik and Krzysztof Kluza},
	title = {Visual Design of Drools Rule Bases Using the XTT2 Method},
	booktitle = {Semantic Methods for Knowledge Management and Communication},
	series = {Studies in Computational Intelligence},
	editor = {Katarzyniak, Radoslaw and Chiu, Tzu-Fu and Hong, Chao-Fu and Nguyen, Ngoc},
	publisher = {Springer Berlin / Heidelberg},
	isbn = {978-3-642-23417-0},
	pages = {57-66},
	volume = {381},
	year = {2011}
}

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