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Proceedings Paper

On a categorial aspect of knowledge representation
Author(s): Emanuel Tataj; Jan Mulawka; Edward Nieznański
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Paper Abstract

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.

Paper Details

Date Published: 15 October 2012
PDF: 7 pages
Proc. SPIE 8454, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2012, 845426 (15 October 2012); doi: 10.1117/12.2000187
Show Author Affiliations
Emanuel Tataj, Warsaw Univ. of Technology (Poland)
Jan Mulawka, Warsaw Univ. of Technology (Poland)
Edward Nieznański, Cardinal Stefan Wyszynski Univ. in Warsaw (Poland)


Published in SPIE Proceedings Vol. 8454:
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2012
Ryszard S. Romaniuk, Editor(s)

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