@inproceedings{eef92a6d63d34537aa4515c008249ab8,
title = "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.",
keywords = "Knowledge representation, Knowledge-based systems, Multimodal statement networks, Probabilistic reasoning, Uncertain reasoning",
author = "Wojciech Cholewa and Marcin Amarowicz and Pawel Chrzanowski and Tomasz Rogala",
year = "2014",
doi = "10.4028/www.scientific.net/KEM.588.74",
language = "English",
isbn = "9783037858899",
series = "Key Engineering Materials",
publisher = "Trans Tech Publications Ltd.",
pages = "74--83",
booktitle = "Smart Diagnostics V",
address = "Switzerland",
note = "5th International Congress of Technical Diagnostics ; Conference date: 03-09-2012 Through 05-09-2012",
}