面向智慧知识服务的科技文献大数据体系建设

Construction of Sci-Tech Big Data System oriented to Intelligent Knowledge Service

[目的/意义]探索构建文献情报大数据知识资源体系,支撑面向多领域的智慧知识服务。[方法/过程]基于AI应用需求,借鉴业界经验,梳理现有资源体系的问题,从多层次多维度扩展资源体系;构建可靠数据处理流程和计算平台,支持高效数据采集和处理;研发智能化数据治理工具,实现知识资源的有效治理,确保提供高质量数据资源。[结果/结论]已初步形成覆盖多类型、多学科的科技文献大数据知识资源体系,构建完成高度自动化的数据采集治理流程,实施多重数据质量控制,积累数亿高质量数据,且为多个知识服务提供数据支撑。

[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.