Summary
This article describes an OTO (Observation-Transformation-Operation) model which allows to improve building of the knowledge structure of the simple agent systems. The presented approach tries to overcome the crucial problems of the task of the automatic ontology building. To this end inductive learning methods and knowledge transformations are utilized. The article provides a brief outline of various forms of these transformations. The chosen example of their usage in building of the partial knowledge structure is also presented. As a conclusion, the paper points to the many possible areas of the model usage, mainly in the field of the image processing and image understanding.
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Wójcik, K. (2013). OTO Model of Building of Structural Knowledge – Areas of Usage and Problems. In: Choraś, R. (eds) Image Processing and Communications Challenges 4. Advances in Intelligent Systems and Computing, vol 184. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32384-3_27
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DOI: https://doi.org/10.1007/978-3-642-32384-3_27
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-32383-6
Online ISBN: 978-3-642-32384-3
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