[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。
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.
关键词
公共文化 /
智慧化 /
信息抽取 /
主题模型 /
文旅融合
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Key words
public culture /
intellectual /
information extraction /
topic model /
cultural and tourism integration
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参考文献
[1] 徐望. 公共数字文化建设要求下的智慧文化服务体系建设研究[J]. 电子政务, 2018(3): 54-63.
XU W.Research on the construction of smart cultural service system under the requirements of public digital culture construction[J]. E-Government, 2018(3): 54-63.
[2] CHEN C L P, ZHANG C Y. Data-intensive applications, challenges, techniques and technologies: A survey on big data[J]. Information
sciences, 2014, 275(11): 314-347.
[3] LI S Q, HAO Z Y, LI D, et al.Research on the application of infor-mation technology of big data in Chinese digital library[J]. Library management, 2019, 40(8/9).
[4] SIMOVI A.A big data smart library recommender system for an educational institution[J]. Library hi tech, 2018, 36(3).
[5] 戴珩. 建立健全覆盖全社会的公共文化服务体系[J]. 群众, 2011(10): 32-34.
DAI H.Establish and improve a public cultural service system covering the entire society[J]. Masses, 2011(10): 32-34.
[6] 刘炜, 张奇, 张喆昱. 大数据创新公共文化服务研究[J]. 图书馆建设, 2016(3): 4-8, 12.
LIU W, ZHANG Q, ZHANG Z Y.On the innovation of public cultural services by big data[J]. Library development, 2016(3): 4-8, 12.
[7] 罗丽, 杨新涯, 周剑. 智慧图书馆的发展现状与趋势——“智慧图书馆从理论到实践”学术研讨会会议综述[J]. 图书情报工作, 2017, 61(13): 140-144.
LUO L, YANG X Y, ZHOU J.The present situation and trend of the development of the smart library - Review of the academic conference about the theory and practice of the smart library[J]. Library and information service, 2017, 61(13): 140-144.
[8] 郑建明, 孙红蕾. 智慧公共文化服务发展战略[J]. 图书馆论坛, 2020, 9: 13-19.
ZHENG J M, SUN H L.The development strategy of smart public cultural service[J]. Library tribune, 2020, 9: 13-19.
[9] FICHMAN P, SANFILIPPO M R, ROSENBAUM H.Social informatics evolving[M]. San Rafael: Morgan Claypool publishers, 2015.
[10] TIFFINI A T, CHRISTIAN R.Big data and academic libraries: The quest for informed decision-making[J]. Portal: Libraries and the academy, 2020, 20(1).
[11] 王淼, 经渊. 智慧公共文化服务云平台构建研究[J]. 数字图书馆论坛, 2019(2): 43-50.
WANG M, JING Y.Research on the construction of intelligent public cultural service cloud platform[J]. Digital library forum, 2019(2): 43-50.
[12] 马捷, 赵天缘, 王思. 高校智慧图书馆功能结构模型构建[J]. 情报科学, 2017, 35(8): 56-61.
MA J, ZHAO T Y, WANG S.The functional structure model construction of smart academic library[J]. Information science, 2017, 35(8): 56-61.
[13] 洪亮, 周莉娜, 陈珑绮. 大数据驱动的图书馆智慧信息服务体系构建研究[J]. 图书与情报, 2018(2): 8-15, 23.
HONG L, ZHOU L N, CHEN L Q.Research on the construction of data-driven smart information service system in libraries[J]. Library & information, 2018(2): 8-15, 23.
[14] 贾璐璐. Web信息抽取技术研究与应用[D]. 北京: 北京邮电大学, 2014.
JIA L L.The research on web information extraction technology[D].Beijing: Beijing university of posts and telecommunications, 2014.
[15] 王晓笛, 李广建. 基于新闻信息抽取的人文社科非正式科学交流研究[J]. 图书与情报, 2018(2): 43-53.
WANG X D, LI G J.Research on the informal scientific communication of the humanities and social sciences based on the extraction of news information[J]. Library & information, 2018(2): 43-53.
[16] 贾玉文, 黄小淋, 王康. 大数据环境下国内图书馆服务研究热点及发展趋势[J]. 新世纪图书馆, 2019(1): 49-55.
JIA Y W, HUANG X L, WANG K.Hot research topics and development trends of library service under big data environment[J]. New century library, 2019(1): 49-55.
[17] 邱亚娜. 信息抽取在图书馆信息推送服务中的应用研究[J]. 图书馆工作与研究, 2011(1): 46-47, 55.
QIU Y N.The application research of information extraction in the information push service of library[J]. Library work and study, 2011(1): 46-47, 55.
[18] 张智雄. 信息抽取技术及其在数字图书馆中的应用前景分析[J]. 数据分析与知识发现, 2004(6): 1-5, 23.
ZHANG Z X.Information extraction and its functions in the digital library[J]. Data analysis and knowledge discovery, 2004(6): 1-5, 23.
[19] 曹树金, 王志红, 古婷骅. 广东省公共数字文化网站调查与分析[J]. 图书馆论坛, 2015, 35(11): 10-18.
CAO S J, WANG Z H, GU T H.A survey and analysis on the websites of public digital culture in Guangdong province[J]. Library tribune, 2015, 35(11): 10-18.
[20] NOVE E V A, ENDANG F M. Big data adoption in academic libraries: a literature review[J]. Library hi tech news, 2020, 37(4).
[21] Jieba[EB/OL]. [2020-12-23].https://github.com/fxsjy/jieba.
[22] PAPADIMITRIOU C H, RAGHAVAN P, TAMAKI H, et al.Latent semantic indexing: A probabilistic analysis[J]. Journal of computer and system sciences, 2000, 61(2): 217-235.
[23] Genism[EB/OL]. [2020-12-23].https://github.com/RaRe-Technologies/gensim.
[24] RODER M, BOTH A, HINNEBURG A.Exploring the space of topic coherence measures[J]. ACM, 2015: 399-408.
[25] Sklearn[EB/OL]. [2020-12-23]. http://www.scikitlearn.com.cn/.
[26] LI S Q, JIAO F S, ZHANG Y, et al.Problems and changes in digital libraries in the age of big data from the perspective of user services[J]. The journal of academic librarianship, 2019, 45(1).
[27] 宋新潮. 关于智慧博物馆体系建设的思考[J]. 中国博物馆, 2015,32(2): 12-15, 41.
SONG X C.Research on the construction of smart museum system[J]. Chinese museum, 2015, 32(2): 12-15, 41.
[28] 陈刚. 智慧博物馆——数字博物馆发展新趋势[J]. 中国博物馆,2013(4): 2-9.
CHEN G.Smart museum - A new trend in the development of digital museums[J]. Chinese museum, 2013(4): 2-9.
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