On a categorial aspect of knowledge representation
Emanuel Tataj, JAN J. MULAWKA, Edward Nieznański · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2012
Adequate representation of data is crucial for modeling any type of data. To faithfully present and describe the relevant section of the world it is necessary to select the method that can easily be implemented on a computer system which will help in further description allowing reasoning. The main objective of this contribution is to present methods of knowledge representation using categorial approach. Next to identify the main advantages for computer implementation. Categorical aspect of knowledge representation is considered in semantic networks realisation. Such method borrows already known metaphysics properties for data modeling process. The potential topics of further development of categorical semantic networks implementations are also underlined.