农业图书情报学报 ›› 2021, Vol. 33 ›› Issue (8): 13-23.doi: 10.13998/j.cnki.issn1002-1248.20-1124

所属专题: 智慧服务

• 特约稿件 • 上一篇    下一篇

公共文化智慧化描述信息抽取与挖掘

王威威1, 化柏林1,2,*   

  1. 1.北京大学 信息管理系,北京 100871;
    2.公共文化服务大数据应用文化和旅游部重点实验室,北京 100871
  • 收稿日期:2020-10-26 出版日期:2021-08-05 发布日期:2021-09-03
  • 通讯作者: * 化柏林(ORCID:0000-0001-9248-6455),男,博士,助理教授,研究方向为文本挖掘、公共文化大数据、科技情报大数据。Email:huabolin@pku.edu.cn
  • 作者简介:王威威(ORCID:0000-0002-6181-4126),北京大学信息管理系,研究方向为文本挖掘
  • 基金资助:
    文化和旅游部重点实验室项目“公共文化智慧化模式聚类与动态展示系统研究”(2020008)

Extraction and Mining of Intelligent Description Information of Public Culture

WANG Weiwei1, HUA Bolin1,2,*   

  1. 1. Department of Information management, Peking University, Beijing 100871;
    2. Key Laboratory of Applied Culture and Tourism of Ministry of Public Cultural Services Big Data, Beijing 100871
  • Received:2020-10-26 Online:2021-08-05 Published:2021-09-03

摘要: [目的/意义]随着国家公共文化服务体系建设的不断推进与大数据等新型信息技术在公共文化领域的成功应用,各公共文化服务机构结合地方特色产生了很多智慧化的应用,如何全面地掌握公共文化智慧化发展现状,实时监控行业发展最新动态,是当前领域需要解决的一个重要问题。[方法/过程]通过爬虫获取国内省级与副省级城市图书馆、博物馆官网页面信息,采用主题模型、聚类分析方法对智慧化描述信息进行分析挖掘。[结果/结论]图书馆和博物馆的主题建模结果反映出两类机构以用户中心、需求导向、注重智慧资源建设、技术敏感度高等共同点,图书馆主题更注重“获取”与“流通”,博物馆主题更注重“交互”与“保护”。聚类和可视化分析反映出图书馆在自助借还设施、智能设备等方面成果较多,博物馆智慧化建设主要集中在数字化交互、智慧保护、智慧管理等方面。

关键词: 公共文化, 智慧化, 信息抽取, 主题模型, 文旅融合

Abstract: [Purpose/Significance] The smartness of public culture is one of the important ways to realize the innovation of public cultural service and management mode. The extraction and analysis of the description information of the smartness of public culture is helpful to understand the current situation of intelligent construction, and is of great significance for promoting the better development of intelligent construction of public cultural institutions. [Method/Process] On the basis of reviewing related research on the smartness of public culture, we obtained information on the official website pages of domestic provincial and sub-provincial city libraries and museums through crawlers, and used topic models and cluster analysis methods to conduct intelligent description for analysis. [Results/Conclusions] The thematic modeling results of libraries and museums reflect the similarities of the two types of institutions, such as user-centric, demand-oriented, smart resource construction, and high technical sensitivity. The library related studies pay more attention to "acquisition" and "circulation". The museum related studies pay more attention to "interaction" and "protection". Clustering and visual analysis reflect that libraries have made more achievements in self-service borrowing and returning facilities, smart equipment, etc. The smart construction of museums mainly focuses on digital interaction, smart protection, and smart management.

Key words: public culture, intellectual, information extraction, topic model, cultural and tourism integration

中图分类号: 

  • G256

引用本文

王威威, 化柏林. 公共文化智慧化描述信息抽取与挖掘[J]. 农业图书情报学报, 2021, 33(8): 13-23.

WANG Weiwei, HUA Bolin. Extraction and Mining of Intelligent Description Information of Public Culture[J]. Journal of Library and Information Science in Agriculture, 2021, 33(8): 13-23.