Subjects: Library Science，Information Science >> Information Science submitted time 2023-04-01 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] In order to meet the subject information service needs of multi-disciplinary and multi-type users, we construct a data management and intelligent analysis platform. Creating an intelligent analysis flow and managing different types of subject data that reflect experts' wisdom, the platform aims to enrich the service model and improve the service speed.[Method/process] On the basis of investigating existing relevant research and practice, we proposed the design idea and construction framework of the platform, and analyzed the main functions and key technologies.[Result/conclusion] The platform has been completed. It integrates multiple sources and multiple types of data, opens up the service chain from data to analysis, embeds a variety of information analysis methods and deep learning algorithms, realizes multi-dimensional analysis services. It can manage analysis process data and history data from information analysts, and then realize data sharing and reuse.
Subjects: Library Science，Information Science >> Information Science submitted time 2023-04-01 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] The paper explores the construction of literature intelligence big data knowledge resource system, which supports multi-domain intelligent knowledge service.[Method/process] Based on the AI application requirements, drawing on the industry experience, combing the problems of existing resource system, the paper expanded the resource system from multi-level and multi-dimensional, built a reliable data processing process and computing platform to support efficient data collection and processing, and developed intelligent data governance tools to achieve effective governance of knowledge resources and ensure the provision of high-quality data resources.[Result/conclusion] It has initially formed a knowledge resource system covering multiple types and disciplines of sci-tech literature, constructed and completed a highly automated data collection and governance process, implemented multiple data quality control, and accumulated hundreds of millions of high-quality data. At present, it has provided data support for multiple knowledge services.
Subjects: Library Science，Information Science >> Information Science submitted time 2023-03-13
Zhang Zhixiong
Qian Li
Xie Jing
Chang Zhijun
Liu Yi
Yu Gaihong
Hu Maodi
Wang Lu
Li Xuesi
Zhao Yang
Wang Yufei
Wang Meng
Lin Xin
Zhang Mengting
Li Yang
Zhang Qin
Wang Yajiao
Guan Zhengyi
Meng Xu
Wu Xinyu
Abstract： ChatGPT is a dialogue system developed by OpenAI company. It appears as a Chatbot, but in essence, it uses Artificial Intelligence Generated Content (AIGC) technology to produce answers. Its key foundation is Generative Pre-trained Transformer and the core technology is InstructGPT. When compared to similar products in the early stages, its main characteristic is that there is a significant decrease in making up facts and generating toxic content. We present a systematic investigation of the technical structure, relevant research and practice, and applications scenarios of ChatGPT. Based on the investigation, we analyze the inspiration from the rapid development of AI technology as well as the influence of ChatGPT on Scientific Research and Library & Information Service. According to these influence, we present eight suggestions for the Library & Information Service field. Overall, the field should find its distinctive value orientation in the AI era, not only by maintaining the conventional scientific research paradigm, but also by exploring new technologies to boost scientific research.
Peer Review Status:
Awaiting Review
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