Human Expert Modelling Using Numerical Linear Algebra: a Heavy Industry Case Study

Authors:
Pavel Praks;Jindřich Černohorský;Radim Briš
Affiliations:
Dept. of Applied Mathematics, VŠB --Technical University of Ostrava, Czech Republic;Dept. of Measurement and Control Systems, Centre of Applied Cybernetics, VŠB --Technical University of Ostrava, Czech Republic;Dept. of Applied Mathematics, VŠB --Technical University of Ostrava, Czech Republic
Venue:
Proceedings of the 2007 conference on Information Modelling and Knowledge Bases XVIII
Year:
2007

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Abstract

The article describes our experience with a method for an automatic identification of image semantic, which is applied to the coking plant Mittal Steel Ostrava, the Czech Republic. The image retrieval algorithm is based on Latent Semantic Indexing (LSI) and involves Singular Value Decomposition of a document matrix. Our case study indicates feasibility of the presented approach as a tool for modelling of human expert behaviour in hard industry environment.