The Idea System and Its Knowledge Representation

EasyChair Preprint 14805

Abstract

The purpose of this paper is to put forward the concept of idea system and try to design its knowledge representation principle on the basis of academic discussion on the formation principle of the conceptual relationship of human knowledge. This method is an idea-based knowledge modeling method. The steps are: first, clearly define the concept as the mapping from sign to meaning; further, clarify that both sign and meaning are just a subclass of idea; finally, determine the separation of the sign relation network and the meaning relation network in the conceptual idea relation network, and modeling and computational processing are unified with the idea relationship network. It is characterized by: the knowledge representation method and principle of the idea relation network. The result is that the idea system, which is a new knowledge modeling tool system, systematically introduces its typical embodiments in combination with word, formula, figure, table, and compares and analyzes the research results of related knowledge graphs. Its significance lies in that: it is significantly different from the traditional method, that is, the knowledge representation model that uses symbols instead of meanings to model. This paper establishes a new method and new principle of knowledge construction model that is assisted by symbols and directly modeled with ideas, which is a new method for cognitive computing. It provides a new way to express knowledge based on meaning rather than symbols.

Keyphrases: Artificial Intelligence, Cognitive Computing, Knowledge Graph, concept of idea, human-machine collaboration, idea based knowledge modeling method, idea fact, idea relationship network, idea system, objects of cognitive science research, relational idea, system analysis

@booklet{EasyChair:14805,
  author    = {Jiawen Qiu and Yezhen Zhao and Xiaohui Zou},
  title     = {The Idea System and Its Knowledge Representation},
  howpublished = {EasyChair Preprint 14805},
  year      = {EasyChair, 2024}}