• 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