On a categorial aspect of knowledge representation

摘要

Adequate representation of data is crucial for modeling any type of data. To faithfully present and describe the relevantsection of the world it is necessary to select the method that can easily be implemented on a computer system which willhelp in further description allowing reasoning. The main objective of this contribution is to present methods ofknowledge 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 borrowsalready known metaphysics properties for data modeling process. The potential topics of further development ofcategorical 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.