AI 2000: A Decade of Artificial Intelligence
Zhou Shaoa, Zhenting Shenb, Sha Yuanc, Jie Tangd, Yongli Wange, Lili Wuf, Wenjiang Zhengf
- aSchool of Computer Science and Engineering, Nanjing University of Science and Technology and Southwest University of Science and Technology and Department of Computer Science and Technology, Tsinghua University
- bBeijing Zhipu Huazhang Technology Co., Ltd
- cBeijing Academy of Artificial Intelligence and Department of Computer Science and Technology, Tsinghua University
- dDepartment of Computer Science and Technology, Tsinghua University and Center for Strategic Studies, Chinese Academy of Engineering
- eSchool of Computer Science and Engineering, Nanjing University of Science and Technology
- fCenter for Strategic Studies, Chinese Academy of Engineering
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Abstract
In the past decades, artificial intelligence has dramatically changed the way we work and live. Moreover, it is increasingly becoming a national strategy for its rapid development and broad application in industries. However, the way artificial intelligence advances itself is sorely lacking until now. One of the most important reasons is the deficiency of timely and reliable knowledge graph in this field. To illustrate the problem, we introduce an academic knowledge graph of AI, named AI 2000, which combines techniques in data mining, bibliometrics, natural language processing, etc. In this work, we try to link the entities of scholars, academic papers, researches, etc. in the field of artificial intelligence. AI 2000 aims at serving as a medium for us to explore the evolution of artificial intelligence in the past decade and looking forward to its future trend. The methodology illustrates its timeliness and reliability, and analysis demonstrates high quality and availability. It is freely available at AMiner1.
TL;DRAn academic knowledge graph of AI is introduced, named AI 2000, which combines techniques in data mining, bibliometrics, natural language processing, etc, and aims at serving as a medium for the evolution of artificial intelligence in the past decade and looking forward to its future trend. (Semantic Scholar)