【摘要】 [目的/意义]通过对传统知识组织方法的体系、规则分析，凝练出传统知识组织方法的智能能力，并将其融入人工智能技术，以增强人工智能信息处理的精准与高效。[方法/过程]文章通过回顾知识组织的发展过程，分析传统知识组织方法的内在结构，深入探讨了传统知识组织方法的机理。[结果/结论]研究认为，知识组织经过数百年的发展演进，能从不同角度去反映各学科的知识体系、学科体系，能从知识多样化的关联建立知识间的语义关系，可采用科学的知识组织方法将不同形式、不同类型、不同结构的知识关联并融合在一起，这些能力为人工智能把握知识体系、探索知识间的关系、推理科学问题中的相关可能性，以及拓展或聚焦知识和词汇、分析事物之间的关系等提供了更加有效的途径。人工智能在信息处理领域的发展应当与知识组织密切配合，充分发挥知识组织的潜在智能力。更多还原

【Abstract】 [Purpose/significance]By analyzing the system and rules of traditional knowledge organization methods, the intelligent capabilities of traditional knowledge organization methods are refined and integrated into artificial intelligence(AI)technology, to enhance the precision and efficiency of AI in information processing. [Method/process]This paper reviews the development of knowledge organization and analyses the inherit structure and mechanisms of traditional knowledge organization methods. [Result/conclusion]Research suggests that over centuries of development and evolution, knowledge organization has gained the ability to reflect knowledge systems and disciplinary systems across different disciplines from diverse perspectives, establish semantic relations from diverse knowledge associations, and associate and integrate knowledge of different forms, types, and structures using scientific knowledge organization methods. These capabilities provide more effective ways for artificial intelligence to grasp knowledge systems, explore knowledge relations, reason about association probabilities in scientific problems, expand or refine knowledge and terms, as well as analyze relationships between things. The development of artificial intelligence in the field of information processing should be closely coordinated with knowledge organizations, to fully unleash its potential intelligent capabilities.更多还原