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ChatGPT完成知识组织任务的效果及启示 被引量:13

The Effect and Enlightenment of ChatGPT in Completing Knowledge Organization Tasks
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摘要 [目的/意义]人工智能技术迅速更迭,ChatGPT正在驱动各行各业的变革与发展,知识组织环境发生了巨大变化。在此背景下,文章分析ChatGPT用于知识组织任务的效能,探索知识组织与新一代AI融合的方式方法,对于促进知识组织领域的创新发展具有重要意义。[方法/过程]文章以知识组织体系和实际业务为参考框架,设计了文献著录、标引、本体构建等8类实验任务,由ChatGPT根据提示完成任务并对其完成效果进行评估,进而思考ChatGPT在知识组织领域发挥的作用以及知识组织未来发展的趋向问题。[结果/结论]ChatGPT具有较强的自适应性,但创造力有限,面对复杂的知识组织任务尚不能直接生成可用的产品。未来知识组织领域的发展需要充分发挥专业人员的创新能力,不断探索知识组织与ChatGPT等生成式AI深度融合的理论体系和规则方法。 [Purpose/significance]Artificial intelligence technology is changing rapidly,ChatGPT is driving the transformation and development of all walks of life,and the knowledge organization environment has undergone tremendous changes.In this context,it is of great significance to analyze the effectiveness of ChatGPT for knowledge organization tasks and explore the ways and means of knowledge organization and new generation AI integration to promote innovation and development in the field of knowledge organization.[Method/process]Taking the knowledge organization system and actual business as the reference frame,8 types of experimental tasks such as document description,indexing,and ontology construction are designed.After ChatGPT completes the task according to the prompts,evaluate its completion effect,and then think about the role of ChatGPT in the field of knowledge organization and the future development trend of knowledge organization.[Result/conclusion]ChatGPT has strong adaptability,but its creativity is limited,and it cannot directly generate usable products in the face of complex knowledge organization tasks.The future development of the field of knowledge organization needs to give full play to the innovative ability of professionals,and constantly explore the theoretical system and rules and methods for the deep integration of knowledge organization and generative AI such as ChatGPT.
作者 曹茹烨 曹树金 Cao Ruye;Cao Shujin(School of Information Management,Sun Yat-sen University,Guangzhou,510006;Information Management Research Institute,Shandong University of Technology,Zibo,255000)
出处 《情报资料工作》 CSSCI 北大核心 2023年第5期18-27,共10页 Information and Documentation Services
关键词 ChatGPT 知识组织 实验任务 ChatGPT knowledge organization experimental task
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