The Blueprint of Data Intelligence Based on Factor Space Theory

PeiZhuang Wang (), Hongxing Li, He Ouyang and Jing He
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PeiZhuang Wang: Liaoning Technical University
Hongxing Li: Liaoning Technical University
He Ouyang: Liaoning Technical University
Jing He: Swinburne University of Technology

Annals of Data Science, 2022, vol. 9, issue 3, No 2, 448 pages

Abstract: Abstract Data intelligence is the core task of the information revolution entering the Internet era. It brings opportunities, but also makes human civilization face risks. Data drowns the idea and data is supreme. People regard manufacturing data as the goal of digital economy, stook data up hoarding and turn data into an immortal holy thing, which is very harmful. This paper insists on leading the data with thinking, and puts forward the blueprint of constructing a huge knowledge base with factor pedigree and factor encoding. Factor pedigree is an embedded high-level knowledge graph. Factor encoding is a program for organizing concepts according to connotation. It can not only prevent the proliferation of data, but also be of great significance for natural language understanding.

Keywords: Factor space; Factor pedigree; Factor encoding; Factor memory; Knowledge graph (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s40745-022-00402-y

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