中国自主知识体系建设中的场景适配型智能知识服务

doi:10.13998/j.cnki.issn1002-1248.26-0285

Abstract

Abstract:

[Purpose/Significance] In the context of the ongoing process of Chinese modernization and the increasingly rigorous requirements for knowledge adaptability arising from complex governance contexts, this research explores the critical strategic value of promoting the fundamental transformation of knowledge services toward "scenario adaptation" within the comprehensive theoretical framework of China's Independent Knowledge System. This paper aims to construct a scenario-adaptive knowledge service model and delineate the essential supportive pathways of knowledge services for the overall development of China's independent knowledge system. [Method/Process] Fundamentally proceeding from the situational logic of knowledge production, we conducted an in-depth analysis of China's independent knowledge system construction for advanced knowledge services, focusing on the internal demand mechanism. On the basis of a thorough review of research related to knowledge services, knowledge organization, and intelligent services, this paper constructed and articulated the operational mode of scenario-adaptive intelligent knowledge services. This mode is synergistically driven by four key dimensions: the problem layer is responsible for perceiving and defining core pain points under complex governance contexts; the scenario identification layer refines problems into specific situational units and projects them into praxis spaces with clear structures and operational logics, thereby achieving a fine-grained structured expression of knowledge demands. The knowledge organization layer serves as the core supportive nexus of scenario-adaptive knowledge services, with its primary function being to bridge the problem situations depicted by the scenario identification layer. It performs semantic integration and structural reconstruction of dispersed, multi-source and heterogeneous knowledge resources, and transforms them into a structured, computable, and reusable knowledge system to provide a stable and callable knowledge foundation for subsequent intelligent services. The intelligent knowledge service layer converts user requirements into computable task structures through semantic parsing, intent recognition, and contextual modeling, and performs precise matching between knowledge supply and decision support on this basis. Furthermore, the article evaluates the supportive capacity of the information resource management (IRM) discipline for scenario-adaptive intelligent knowledge services and discusses the strategic pathways for cultivating intelligent knowledge service professionals. [Results/ [Conclusions] The research clarifies that the construction of China's independent knowledge system necessitates the development of scenario-adaptive intelligent knowledge services, and the IRM discipline provides crucial support for scenario-adaptive intelligent knowledge services in terms of heterogeneous knowledge resource integration, scenario-based knowledge configuration, and the systematic governance of knowledge resources. The collaborative construction of the "Technology-Knowledge-Scenario" should be further strengthened to promote the development of interdisciplinary professionals specialising in knowledge service and oriented toward the era of digital intelligence.

Key words: China's independent knowledge system, scenario adaptation, intelligent knowledge service, information resource management (IRM), knowledge governance

CLC Number:

G203

NIU Chunhua, WANG Yaqi, SHA Yongzhong. Scenario-Adaptive Intelligent Knowledge Services in the Construction of China's Independent Knowledge System: Supporting Capabilities and Talent Cultivation in the Discipline of Information Resource Management[J].Journal of library and information science in agriculture, 2026, (): 1-12.

Figures/Tables 2

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Scenario-Adaptive Intelligent Knowledge Services in the Construction of China's Independent Knowledge System: Supporting Capabilities and Talent Cultivation in the Discipline of Information Resource Management

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