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The Blueprint of Data Intelligence Based on Factor Space Theory

Author

Listed:
  • PeiZhuang Wang

    (Liaoning Technical University)

  • Hongxing Li

    (Liaoning Technical University
    Dalian University of Technology)

  • He Ouyang

    (Liaoning Technical University)

  • Jing He

    (Swinburne University of Technology)

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.

Suggested Citation

  • PeiZhuang Wang & Hongxing Li & He Ouyang & Jing He, 2022. "The Blueprint of Data Intelligence Based on Factor Space Theory," Annals of Data Science, Springer, vol. 9(3), pages 431-448, June.
    • Handle: RePEc:spr:aodasc:v:9:y:2022:i:3:d:10.1007_s40745-022-00402-y
    DOI: 10.1007/s40745-022-00402-y
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