Development Environment for Diagnostic Multimodal Statement Networks

Abstract:

Development of effective diagnostic systems for the recognition of technical conditions of complex objects or processes requires the use of knowledge from multiple sources. Gathering of diagnostic knowledge acquired from diagnostic experiments as well as independent experts in the form of an information system database is one of the most important stages in the process of designing diagnostic systems. The task can be supported through suitable modeling activities and diagnostic knowledge management. Briefly, this paper presents an example of an application of multimodal diagnostic statement networks for the purpose of knowledge representation. Multimodal statement networks allow for approximate diagnostic reasoning based on a knowledge that is imprecise or even contradictory in part. The authors also describe the software environment REx for the development and testing of multimodal statement networks. The environment is a system for integrating knowledge from various sources and from independent domain experts in particular.

• Periodical: Key Engineering Materials (Volume 588)
• Pages: 74-83
• DOI: https://doi.org/10.4028/www.scientific.net/KEM.588.74
• Online since: October 2013
• Authors: Wojciech Cholewa, Marcin Amarowicz, Paweł Chrzanowski, Tomasz Rogala
• Keywords: Knowledge Representation, Knowledge-Based Systems, Multimodal Statement Networks, Probabilistic Reasoning, Uncertain Reasoning

References

[1] J. Korbicz, J.M. Kościelny, Z. Kowalczuk and W. Cholewa, Fault diagnosis: models, artificial intelligence, applications, Springer, Berlin-Heidelberg, 2004.

DOI: 10.1007/978-3-642-18615-8

[2] W. Cholewa, Multimodal statement networks for diagnostic applications, in. P. Sas, B. Bergen (Eds.), Proceedings of the International Conference on Noise and Vibration Engineering ISMA 2010, Katholieke Universiteit Leuven, Leuven, Belgium, 2010, pp.817-830.

DOI: 10.3842/sigma.2023.020

[3] L. Heath, A. Sioson, Multimodal networks: Structure and operations, IEEE/ACM Trans. On Computational Biology and Bioinformatics, 6 (2009), 271-280.

DOI: 10.1109/tcbb.2007.70243

[4] W. Cholewa, D. Skupnik, Comparative research on multimodal statement networks (in Polish), Pomiary Automatyka Kontrola, 57 (2011), 1388-1393.

[5] W. Cholewa, J. Korbicz, J.M. Kościelny, K. Patan, T. Rogala, M. Syfert and M. Witczak, Modeling, diagnostics and process control-implementation in DiaSter system, in. J. Korbicz, J.M. Kościelny (Eds.): Modeling, Diagnostics and Process Control: Implementation in the DiaSter System, Springer, Berlin, 2010, pp.153-231.

DOI: 10.1007/978-3-642-16653-2_5

[6] W. Cholewa, T. Rogala, P. Chrzanowski, M. Amarowicz, Statement networks development environment REx, in: P. Jędrzejowicz, N.T. Nguyen, K. Hoang (Eds.), Proceedings of the Third International Conference on Computational Collective Intelligence: Technologies and Applications – Volume part II, LNCS 6923, Springer-Verlag, Heidelberg, 2011, pp.30-39.

DOI: 10.1007/978-3-642-23938-0_4