Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Method for setting up knowledge map and navigating disciplinary knowledge

A knowledge map and method establishment technology, applied in the field of knowledge expression, can solve the problems that the knowledge map cannot go deep into the logical structure of the discipline, and the expression results depend on the application scenario.

Inactive Publication Date: 2015-03-25
刘泊荣
View PDF2 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The current production rule representation and logical representation are more effective, but most of them are directed acyclic graphs, so that the representation results depend on specific application scenarios
However, like the citation analysis method, the knowledge map constructed based on the mutual citation relationship between documents cannot go deep into the logical structure of the discipline itself, and can only use a single document as a map node.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method for setting up knowledge map and navigating disciplinary knowledge
  • Method for setting up knowledge map and navigating disciplinary knowledge
  • Method for setting up knowledge map and navigating disciplinary knowledge

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0126] Taking propositions as nodes and logical connectives (Boolean functions) as relationships, the binary implication operator of propositional logic is promoted, and logical connectives with ternary and above are modularized to form a special Boolean network. And the method of automatic reasoning and knowledge navigation based on this scheme is given.

[0127] The specific implementation method of the present invention is given below.

[0128] S01 In this knowledge map scheme, nodes represent propositions, and nodes are linked by implication operators.

[0129] S02 implies the operator. The implication operator is used to represent the logical relationship between propositions, and the implication operator can be represented by a mapping truth table. T means that the proposition is known to be true, and I means that the true or false of the proposition is uncertain. The left side of the mapping truth table represents the initial truth value of the proposition, and the r...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

A method for setting up a knowledge map comprises the steps that propositions are used as nodes, implication operators used for showing logical relations between the propositions are linked with the nodes, a special Boolean network is formed, and the knowledge map is set up. The logical relations are the relations between logical connectors and Boolean functions, and the implication operators comprise binary implication operators, ternary implication operators and multivariate implication operators. The method extends the working method of a propositional logic, and develops an undirected acyclic graph knowledge expressive method having nothing to do with specific application scenes, and automatic reasoning of knowledge of the mathematics and sciences can be more conveniently achieved.

Description

technical field [0001] The invention relates to a knowledge expression technology, which expresses a domain knowledge into a form that can be recognized and processed by a machine, and in particular relates to a knowledge map establishment and subject knowledge navigation method. Background technique [0002] Artificial intelligence is the study of how to make machines have human intelligence. The reason why people are intelligent is because they have knowledge. Similarly, to make a machine intelligent, it must have knowledge, and the more knowledge it has, the higher its intelligence will be. But human knowledge is mostly abstract, and we are used to expressing it in natural language, so how to make machines have knowledge? This is knowledge representation and knowledge acquisition. [0003] The so-called knowledge representation is to study how to describe the knowledge in the most suitable form in the machine, so as to formalize and model the knowledge so as to store a...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06N5/02G06N5/04
Inventor 刘泊荣
Owner 刘泊荣
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com