[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.
Wu Zhenxin
,
Qian Li
,
Xie Jing
,
Chang Zhijun
,
Xu Liyuan
,
Zhao Yan
. Construction of Sci-Tech Big Data System oriented to Intelligent Knowledge Service[J]. Library and Information Service, 2020
, 64(24)
: 63
-72
.
DOI: 10.13266/j.issn.0252-3116.2020.24.008
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