Knowledge Network Based on the Standard Model of Knowledge Representation
- DOI
- 10.2991/ifmeita-16.2016.160How to use a DOI?
- Keywords
- knowledge representation; standard model; knowledge network; semantic network; parataxis network
- Abstract
The basic unit of knowledge representation is the knowledge component. We can represent complex semantic through the construction of complex knowledge component or the combination of some knowledge components, where the latter is the common method. For the representation of complex semantic, the abilities and defects using the representation method of tradition semantic network and parataxis network are analyzed, and a knowledge network representation method based on the standard model of knowledge representation is proposed. This knowledge network has power ability to represent the complex semantic by the series-parallel connection of knowledge components. The running of this knowledge network is determinate, so it can express the complex semantic accurately without ambiguity. From the analysis to the knowledge network, it is pointed that knowledge network is not the copy of physiological structure of a human brain, but the logical description of knowledge. The knowledge network has relationship with the solving of knowledge, many parts of it are produced dynamically in the process of inference in agent, and using static knowledge network to construct the knowledge system is unable to avoid the explosion of knowledge network.
- Copyright
- © 2016, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Wensheng Yin PY - 2016/01 DA - 2016/01 TI - Knowledge Network Based on the Standard Model of Knowledge Representation BT - Proceedings of the 2016 International Forum on Management, Education and Information Technology Application PB - Atlantis Press SP - 867 EP - 876 SN - 2352-5398 UR - https://doi.org/10.2991/ifmeita-16.2016.160 DO - 10.2991/ifmeita-16.2016.160 ID - Yin2016/01 ER -