DocumentCode :
1777441
Title :
VODRE: Visualisation of drools rules execution
Author :
Lapaev, Maxim ; Kolchin, Maxim
Author_Institution :
Mech. & Opt., St. Petersburg Nat. Res. Univ. of Inf. Technol., St. Petersburg, Russia
fYear :
2014
fDate :
21-25 April 2014
Firstpage :
77
Lastpage :
84
Abstract :
Knowledge-based Systems and Expert Systems, in particular, are expensive to build and difficult to validate and debug because of their complexity and dynamism. Therefore, it is not easy for knowledge engineer and domain expert to identify the gaps and mistakes in knowledge base. Unit testing is unable to cover validation process at all stages, in many cases manual thorough review of decision process is needed. In this paper we spot main approaches to validation and verification issue and describe a component that helps to debug a knowledge base by visualising execution of rules that derive a particular result. This component is developed for Knowledge-based Systems built on Drools Platform1 and we demonstrate application of this component in a knowledge-based engineering system for structural optical design.
Keywords :
data visualisation; expert systems; object-oriented methods; program debugging; Drools platform; Drools rules execution visualization; VODRE; expert systems; knowledge base debugging; knowledge-based engineering system; structural optical design; validation issue; verification issue; Adaptive optics; Expert systems; Knowledge engineering; Optical imaging; Servers; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Open Innovations Association FRUCT, Proceedings of 15th Conference of
Conference_Location :
St. Petersburg
ISSN :
2305-7254
Print_ISBN :
978-5-7577-0463-0
Type :
conf
DOI :
10.1109/FRUCT.2014.6872436
Filename :
6872436
Link To Document :
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