Paper
15 October 2012 On a categorial aspect of knowledge representation
Emanuel Tataj, Jan Mulawka, Edward Nieznański
Author Affiliations +
Proceedings Volume 8454, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2012; 845426 (2012) https://doi.org/10.1117/12.2000187
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2012, 2012, Wilga, Poland
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.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Emanuel Tataj, Jan Mulawka, and Edward Nieznański "On a categorial aspect of knowledge representation", Proc. SPIE 8454, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2012, 845426 (15 October 2012); https://doi.org/10.1117/12.2000187
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KEYWORDS
Logic

Data modeling

Computing systems

Systems modeling

Artificial intelligence

Data processing

Process modeling

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