Design and Research on the Data Model of Special Collections of Scientific and Technological Celebrities Based on Knowledge Organization
Design and Research on the Data Model of Special Collections of Scientific and Technological Celebrities Based on Knowledge Organization
复制标题
基于知识组织的科技名人专题馆藏数据模型设计与研究
DOI：
10.1109/bdee52938.2021.00008
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发表时间：
2021
期刊：
影响因子：
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通讯作者：
Anqi Li
中科院分区：
文献类型：
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作者：
Yi Sun;Ningjing Liu;Feng Zhou;Anqi Li
名人特别收藏具有重要的学术、历史和精神价值。资源类型包括图书、信件、手稿、图片、音频、视频、实物等，需要不同的数据描述标准、内容管理模型和资源保存方式，具有跨图书馆、档案馆、博物馆、科技馆等多领域异构资源的特点。与其他特殊馆藏资源相比，这类资源在类型、载体、主题、内容等方面都具有更为复杂的特点。本文旨在展现名人的学术思想和精神价值，运用抽象数据模型构建资源、人物、事件、空间四个核心实体，以及时间、组织、项目等多个次要实体。针对异构资源的特点，创建虚拟实体，探索专题馆藏集成跨域模型，引入知识组织概念和方法，构建Person_Person、Person_Event、Event_Space、Event_DocumentX等链接实体。我们希望形成深层次、多维度的数据关联模型，使科技名人专题收藏的内容挖掘与展示更加系统化、科学化。
Celebrity special collections have important academic, historical, and spiritual values. The resource types include books, letters, manuscripts, pictures, audio, videos, physical objects, etc., which need different data description standards, content management models, and resource preservation methods and possess the characteristics of heterogeneous resources across multiple fields like libraries, archives, museums, and science and technology museums. Compared with other special collection resources, this category of resource has more complex characteristics in terms of type, carrier, theme, and content. This article aims to showcase the academic thoughts and spiritual values of celebrities, and uses abstract data models to construct four core entities—resource, person, event, and space, as well as multiple secondary entities such as time, organization, and project. Facing the characteristics of heterogeneous resources, we created virtual entities, explored integrated and cross-domain model of special collections, introduced knowledge organization concepts and methods, and built link entities such as Person_Person, Person_Event, Event_Space, Event_DocumentX, etc. We hope to form a deep-level and multi-dimensional data association model and make the content mining and display of special collections of scientific and technological celebrities more systematic and scientific.