以藏品为核心的知识图谱设计与应用

Design and Application of Knowledge Graph with Collection as the Core

在互联网时代,以藏品为核心的数字资源组织与应用成为博物馆智慧化建设的一项重要内容。本文通过对国家博物馆数据资源的研究与相关度分析,设计以藏品、多媒体、展览、项目、人员、机构、文献7类实体为核心的知识图谱,进而从知识抽取、知识融合、知识存储和知识应用4个方面设计了技术架构,重点分析知识图谱在知识抽取与知识融合中的关键技术问题,以及知识图谱在检索优化、智能推荐、可视化展示和智能问答领域的应用方式,以期对博物馆展览展示、文物保护、考古、修复和社教等业务的开展提供支撑。

In the Internet era,the organization and application of digital resources with collections as the core has become an important part of the intelligent construction of museums.Based on the research and correlation analysis of the data resources of the National Museum,this paper designs a knowledge graph with the collection,multimedia resources,exhibitions,projects,people,institutions and documents.Then,the technical framework is designed from knowledge extraction,knowledge fusion,knowledge storage and knowledge application.Focused on the analysis of the key technical problems of knowledge extraction in knowledge extraction and knowledge fusion.Then,it analyzes the application of knowledge graph in the fields of retrieval optimization,intelligent recommendation,visual display and intelligent Q&A in order to provide support for museum exhibition,collection protection,archaeology,restoration and social education.