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人工智能背景下科技查新赋能科技创新的问题与对策

Problems and countermeasures for S&T innovation enabled by S&T novelty retrieval under the background of artificial intelligence
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摘要 科技创新是推动科技、经济发展的关键力量,当前已上升为国家战略,而精准全面的科技查新工作是科技创新的重要支撑。随着科技创新的不断深入发展,科研人员对信息服务有更高的需求,科技查新在业务深度拓展方面仍有巨大的发展潜力。针对传统查新活动中暴露出来的不足和问题,归纳出科技查新对科技创新的支撑作用。借助于“互联网+”、大数据、人工智能、大模型、元宇宙等技术,推动“一站式”服务平台建设,推动智慧化科技查新资源平台建设与知识服务沉浸式体验进程,推动查新服务向创新型智库服务升级,推动传统信息服务向智慧化与智能化改革转型。 Technological innovation has emerged as a pivotal driving force for technological and economic advancement,now evolving into a fundamental national strategy.Moreover,accurate and comprehensive scientific and technological novelty search work is a key support in technological innovation.Currently,with the continuous deepening of technological innovation,researchers have a higher demand for information services.There is still enormous potential for technological novelty search to expand in depth.This paper aims to identify and address the shortcomings and issues in traditional novelty retrieval activities by examining the role of scientific and technological novelty retrieval in supporting innovation.This paper advocates for the development of one-stop service platforms,intelligent scientific and technological novelty retrieval resource platforms,knowledge services immersion experience,innovation think tank services,and the transformation of traditional information services into intelligence services by integrating various technologies such as Internet plus,big data,artificial intelligence,large model,meta universe.
作者 万昊 李默 孙江文 WAN Hao;LI Mo;SUN Jiangwen(Library of Shandong University of Science and Technology,Qingdao 266590,China)
出处 《技术与市场》 2024年第6期166-172,共7页 Technology and Market
关键词 科技查新 科技创新 人工智能生成内容(AIGC) 大模型(LM) technology novelty search technological innovation artificial intelligence generated-content(AIGC) large model(LM)
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