Documentation, Informaiton & Knowledge ›› 2024, Vol. 41 ›› Issue (1): 6-11.doi: 10.13366/j.dik.2024.01.006

• Viewpoint and Perspective • Previous Articles     Next Articles

A New Approach for Information Resources Management Empowered by Data Intelligence: The Concept, Connotation and Development of Instruction Engineering

LU Wei1, 2 , WANG Lei1, 2, CHENG Qikai1, 2, LIU Jiawei1, 2, HUANG Yong1, 2   

  1. 1.School of Information Management, Wuhan University, Wuhan, 430072;
    2. Information Retrieval and Knowledge Mining Laboratory, Wuhan University, Wuhan, 430072
  • Online:2024-01-10 Published:2024-03-04
  • Contact: Correspondence should be addressed to CHENG Qikai, Email:, ORCID: 0000-0003-3904-8901
  • Supported by:
    This is an outcome of the Key Project "Data and Intelligence Empowered Theoretic Change of Scientific Information Resource and Knowledge Management Theory"(72234005)and the project "Argumentation Logic Recognition of Scientific Proposition Text based on Machine Reading Comprehension"(72174157), both supported by National Natural Science Foundation of China.

Abstract: The emerging wave of scientific revolution and industrial transformation is burgeoning, with technologies such as big data and artificial intelligence exerting a profound impact on the information resources management discipline. Under the background of large language models(LLMs), instruction engineering guides the generation of model results through high-quality, systematic and procedural instruction design, which is an important approach to efficiently leverage the capabilities of LLMs and can be applied to resolve discipline-related issues. This article firstly introduces the concept of instruction engineering, and then thoroughly analyzes the constituent elements and design patterns of instructions, as well as the features and significance of instruction engineering. We also discuss the construction path of instruction engineering empowered information resources management. In the future, research and development in instruction engineering should focus on the construction of both general and domain-specific instruction engineering, standardization, intellectual property protection, security and systematic testing and assessment, aiming to enable instructions to effectively demonstrate their efficacy in complex application scenarios across various industries.

Key words: Instruction engineering, Large language model, Information resources management, Data intelligence empowerment