摘要
研究战“疫”记忆库构建的关键技术,不仅能为针对性解析各类战“疫”记忆资源提供技术手段与方法,还能将各类资源的知识结构关联起来,从而将零散的信息和知识组织起来,为自动化构建记忆库提供一整套技术与方法。针对人物与事件两类资源,提出战疫记忆人物专题构建流程与方法、事件与事件关系判定方法,实现自动生成战疫记忆人物专题、战疫事件因果与顺承关系的判定,并设计构建战“疫”记忆库展示平台,对各类资源进行统计、关联与多角度的可视化,验证研究技术和方法的可行性。通过对各部门和机构的相关信息进行收集和分析,将较为独立与分散的各部分资源形成关联化的资源体系,为专题记忆库的构建提供方法和技术方面的参考。
This paper studies the key technologies of fighting COVID-19 memory base model,which can not only provide technical methods for the targeted analysis of various memory resources,but also can associate the knowledge structure of various resources,so as to organize scattered information and knowledge,and provide a set of technologies and methods for the automatic construction of memory base model.Targeting on characters and events resources,the paper proposes the process and method for the construction of fighting COVID-19 topic related to people,and the method of determining the relationship between events were proposed,which realized the automatic generation of fighting COVID-19 topic related to people and the extraction of causal and temporal relationships between fighting COVID-19 events.Finally,the research design and develop the display platform,and all kinds of resources are displayed in various aspects,to verify the feasibility of the research technology and method.Through the collection and analysis of relevant information of various departments and institutions,this paper forms an associated resource system from relatively independent and dispersed resources,which can provide methodological and technical reference for the construction of thematic memory base model.
作者
季士妍
曾月清
刘雅珺
刘耀
JI Shiyan;ZENG Yueqing;LIU Yajun;LIU Yao(National Library of China,Beijing 100034;Peking University,Beijing 100871;Institute of Scientific and Technical Information of China,Beijing 100038)
出处
《中国科技资源导刊》
2022年第3期9-20,共12页
China Science & Technology Resources Review
基金
国家社会科学基金一般项目“数字资源知识共享与知识再利用模式与方法研究”(21BTQ011)
2020年度文化和旅游研究项目“智能化时代的公共数字文化建设研究”(21DY28)。
关键词
新冠肺炎疫情
构建记忆库
命名实体识别
事件提取
事件判定词表
COVID-19
construction of memory base
named entity recognition
event extraction
event decision vocabulary