构建基于科技文献知识的人工智能引擎

目的/意义]如何利用科技文献中的知识对深度学习算法模型进行训练改进,以获取知识、发现知识是情报研究的重要课题。为充分挖掘和利用科技文献中的知识,本文提出构建基于科技文献知识的人工智能引擎的目标。方法/过程]本文以文献情报工作为出发点,立足科技文献是人类知识的最重要载体,探究人工智能取得飞速突破的本质所在,创新性提出了文献情报领域从“科技文献库”转变为“科技知识引擎”的建设思路。结果/结论]本文论述了中国科学院文献情报中心在构建基于科技文献知识的人工智能(AI)引擎的建设实践,探讨了利用深度学习技术挖掘知识以服务情报研究的方法,以期为学界提供参考。

Building an Artificial Intelligence Engine Based on Scientific and Technological Literature Knowledge

Purpose/Significance]How to use the knowledge in the scientific and technological literature to train and improve the model of deep learning algorithm,and acquire knowledge and discover knowledge is an important subject of information research.In order to fully mine and utilize the value of literature knowledge,this paper proposes the goal of building an artificial intelligence(AI)engine based on scientific and technological literature knowledge.Method/Process]It chooses the literature and information science work as the starting point and takes the scientific and technological literature as the most important carrier of human knowledge.This paper explores the essence of the rapid breakthrough of AI,and innovatively puts forward the construction idea of"science and technology knowledge engine"which is the transformation from"science and technology literature library"in the field of information science.Results/Conclusions]This paper discusses the construction practice of AI engine based on scientific and technological literature knowledge and explores the method of using the deep learning technology to excavate knowledge to serve information research,so as to provide reference for peers.