Abstract
Knowledge engineering aims at providing methods for efficient knowledge encoding to allow for automatic reasoning. Most of the research in this field is devoted to the design of expressive modeling languages or effective reasoning mechanisms. We argue that powerful knowledge representation and inference mechanism is not enough to assure high quality knowledge bases. It is crucial to provide methods for creation and visualization of knowledge. This allows an engineer to focus on the task of building the knowledge without the distraction caused by the complexity of the representation, syntax, etc. The original contribution of this paper is a definition of three categories of requirements for visualization and editing software for structured rule bases. We propose the prototype implementation of such a tool and provide the evaluation that involves comparison with existing approaches and user test to measure the usability of the solution.
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Notes
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See: http://openrules.com.
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- 3.
See: http://sumi.uxp.ie.
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HaQuNa is an interactive commandline shell to load, modify, run HMR models. See: http://glados.kis.agh.edu.pl/doku.php?id=pub:software:heartdroid:tutorials:haquna.
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The set of tasks can be found here: http://glados.kis.agh.edu.pl/doku.php?id=pub:software:hwed:usability_studies.
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The complete report from the SUMI framework can be found here: http://glados.kis.agh.edu.pl/doku.php?id=pub:software:hwed:usability_studies:results.
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Bobek, S., Nalepa, G.J., Babiarz, P. (2017). Web-Based Editor for Structured Rule Bases. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L., Zurada, J. (eds) Artificial Intelligence and Soft Computing. ICAISC 2017. Lecture Notes in Computer Science(), vol 10246. Springer, Cham. https://doi.org/10.1007/978-3-319-59060-8_37
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