图书情报工作

图书情报工作 >

2023 , Vol. 67 >Issue 15: 138 - 150

DOI: https://doi.org/10.13266/j.issn.0252-3116.2023.15.013

知识组织

高校图书馆思政信息服务知识图谱构建与应用研究——以历史文献为语义主线

  • 曾桢 ,
  • 陈蓝 ,
  • 赵浩宇 ,
  • 王晓光
展开
  • 1 贵州财经大学信息学院 贵阳 550025;
    2 武汉大学大数据研究院 武汉 430072;
    3 贵州财经大学图书馆 贵阳 550025
曾桢,教授,博士,E-mail:tomisacat@live.cn;陈蓝,硕士研究生;赵浩宇,硕士研究生;王晓光,教授,博士,博士生导师。

收稿日期: 2022-12-29

  修回日期: 2023-04-11

  网络出版日期: 2023-08-03

基金资助

本文系国家自然科学基金项目“基于知识图谱的农产品价值链信息融合研究”（项目编号：71964007）和国家社会科学基金重大项目子课题“数字政府信息基础设施安全治理体系研究”（项目编号：20ZDA038）研究成果之一。

收起

Construction and Application Research of Ideological and Political Information Service Knowledge Graph in University Libraries: With Historical Literature as Semantic Mainline

  • Zeng Zhen ,
  • Chen Lan ,
  • Zhao Haoyu ,
  • Wang Xiaoguang
Expand
  • 1 School of Information, Guizhou University of Finance and Economics, Guiyang 550025;
    2 Institute of Big Data, Wuhan University, Wuhan 430072;
    3 Library of Guizhou University of Finance and Economics, Guiyang 550025

Received date: 2022-12-29

  Revised date: 2023-04-11

  Online published: 2023-08-03

Fold

摘要

[目的/意义] 设计面向高校图书馆思政信息服务需求、体现思政类编年史文献结构与修辞特征的语义模型及知识图谱应用。包括以历史文献为主线，通过数字人文建设，响应二十大提出抓好思政历史教育，引导知史爱党，知史爱国的指导方针。[方法/过程] 以《中华人民共和国学校德育编年史》为资源建设主线，针对其结构内容特征，面向高校图书馆思政信息服务不同用户需求，基于语义出版、事件本体以及知识图谱技术，构建思政编年史本体，并设计部署信息服务平台向高校广大师生推广应用。[结果/结论] 实现图书馆对高校思政教育信息服务支撑，建设高校图书馆思政信息资源元数据标准，并为以历史文献为主线的信息资源建设路线提供参考。

关键词： 思政教育; 编年史; 知识图谱; 信息服务

本文引用格式

曾桢 , 陈蓝 , 赵浩宇 , 王晓光 . 高校图书馆思政信息服务知识图谱构建与应用研究——以历史文献为语义主线[J]. 图书情报工作, 2023 , 67(15) : 138 -150 . DOI: 10.13266/j.issn.0252-3116.2023.15.013

Abstract

[Purpose/Significance] The design is orient to need for the ideological and political information service in the university library, including the application of semantic models and knowledge graphs that reflects the structure and rhetorical features of ideological and political chronicle literature, through Digital Humanities in order to respond to the 20th CPC National Congress goal of focuses on the ideological history education, guide the known history of love in the party, known history of patriotism.[Method/Process] Using Chronicle of the School Moral Education of the People's Republic of China as the main resource, targeting its structural and content features, addressing the diverse user needs of ideological and political information services in university library. We based on semantic publishing, event ontology to build ideological chronicle ontology and design the deployment information service platform and application.[Result/Conclusion] This paper realizes the library's information service support for college ideological and political education, and provides the metadata standard for the construction of ideological and political information resources for college libraries, and provides references for the route of information resource construction along the historical documents.

Key words： ideological and political education; chronicle; knowledge graph; information service

参考文献

[1] 中华人民共和国教育部.中共中央办公厅国务院办公厅印发《关于深化新时代学校思想政治理论课改革创新的若干意见》[EB/OL].[2023-03-14].http://www.moe.gov.cn/jyb_xxgk/moe_1777/moe_1778/201908/t20190815_394663.html.
[2] 许天才, 蔡凤宇, 潘雨亭, 等.高校图书馆学科信息服务平台的体系构建——重庆大学图书馆学科服务创新实践[J].图书馆杂志, 2023, 42(4):44-50, 137-139.
[3] 刘瑞芳, 曲磊.数字化时代高校图书馆的信息服务创新[J].图书情报导刊, 2020, 5(9):16-21.
[4] 沈杰.构建图书馆个性化智能信息服务系统的基本路径[J].图书馆理论与实践, 2021(2):80-84.
[5] 张璐.科学交流视角下的高校图书馆信息服务研究[J].大学图书情报学刊, 2022, 40(3):74-80.
[6] WILKINSON M D, DUMOMTIER M, AALBERSBERG I J J, et al.The FAIR guiding principles for scientific data management and stewardship[J].Scientific data, 2016, 3(1):1-9.
[7] BIZER C, HEATH T, BERBERS-LEE T.Linked data:the story so far[M]//Semantic services, interoperability and web applications:emerging concepts.Hershey:IGI global, 2011:205-227.
[8] 冯刚, 沈壮海.中华人民共和国学校德育编年史[M].一版.北京:中国人民大学出版社, 2010.
[9] 明均仁, 陈晓禹, 陈蓉.高校图书馆红色文化建设调查与分析[J].图书馆论坛, 2021, 12(14):87-94.
[10] 宋姬芳, 朱小梅, 王丽丽.图书馆红色文献利用与研究探析——以中国人民大学图书馆为例[J].图书馆杂志, 2022, 41(2):71-76.
[11] 肖海清.高校图书馆参与校园红色文化建设的思考[J].图书馆工作与研究, 2021(1):36-42.
[12] 李桂玲.高校图书馆资源建设探究——以延安大学图书馆为例[J].品牌研究, 2021(29):154-157.
[13] 胡卫红.高校思想政治理论课新形态教材建设的探索与思考——以高校思想政治理论课教材辅导用书编写为例[J].思想理论教育导刊, 2020(8):110-112.
[14] 葛艳聪, 李强.红色文献数据库建设的现状、问题及对策——以16个红色文献数据库为中心的考察[J].图书馆杂志, 2021, 40(7):137-144.
[15] 胡永强, 王宇.图书馆党史学习教育与红色文化推广融合路径探究[J].图书情报工作, 2022, 66(2):66-73.
[16] 张祎, 余敏杰."大思政"视域下高校图书馆服务思政课辅助教材建设的思考[J].图书馆工作与研究, 2021(S1):66-70, 118.
[17] 王友福.MOOC背景下的教材形态与研发策略初探[J].中国编辑, 2016(2):63-67.
[18] 王晓光.语义出版的概念与形式[J].出版发行研究, 2015(11):54-58.
[19] 李芳, 纪珊珊, 周毅, 等.语义出版本体模型的构成分析——以SPAR本体和Nature本体为例[J].图书情报工作, 2017, 61(24):123-134.
[20] RUIZ-INIESTA A, CORCHO O.A review of ontologies for describing scholarly and scientific documents[EB/OL].[2023-03-12].https://www.researchgate.net/publication/263495382_A_review_of_ontologies_for_describing_scholarly_and_scientific_document.
[21] HAMMOND T, PASIN M.The nature.com ontologies portal[C]//5th workshop on linked science 2015, co-located with international semantic web conference 2015.Bethlehem:Linked Science, 2015:2-14.
[22] CRISTEA D.A historical ontology of semi-automatic specification extraction from Romanian language[C]//Proceedings of the 20192nd international conference on geoinformatics and data analysis.Prague:Association for Computing Machinery, 2019:125-129.
[23] CONSTANTIN A, PERONI S, PETTIFER S, et al.The document components ontology (DoCO)[J].Semantic web, 2016, 7(2):167-181.
[24] 董慧, 杨宁, 陈亮, 等.基于本体的数字图书馆检索模型研究(III)——历史领域资源本体构建[J].情报学报, 2006, 25(10):564-574.
[25] CORDA I, BENNETT B, DIMITROVA V.A logical model of an event ontology for exploring connections in historical domains[J].CEUR Workshop proceedings, 2011(779):22-31.
[26] SCHLIEDER C, KOHO M, IKKALA E, et al.WarSampo knowledge graph:Finland in the Second World War as linked open data[J].Semantic web, 2021, 12(2):265-278.
[27] TIETZ T, BRUNS O, GOLLER S, et al.Knowledge graph enabled curation and exploration of nuremberg's city heritage[J].CEUR Workshop proceedings, 2021(2836):11.
[28] 杨海慈, 王军.宋代学术师承知识图谱的构建与可视化[J].数据分析与知识发现, 2019, 3(6):109-116.
[29] SIMON G, DEMIDOVA E.EventKG+TL:creating cross-lingual timelines from an event-centric knowledge graph[J].Lecture notes in computer science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2018(11155):164-169.
[30] GOTTSCHALK S, DEMIDOVA E.EventKG-the hub of event knowledge on the web-and biographical timeline generation[J].Semantic web, 2019, 10(6):1039-1070.
[31] LATIF S, AGARWAL S, GOTTSCHALK S, et al.Visually connecting historical figures through event knowledge graphs[C]//2021 IEEE visualization conference.New Orleans:IEEE, 2021:156-160.
[32] 中华人民共和国教育部.教育部等十部门关于印发《全面推进"大思政课"建设的工作方案》的通知[EB/OL].[2023-03-20].http://www.moe.gov.cn/srcsite/A13/moe_772/202208/t20220818_653672.html.
[33] 卢黎歌, 向苗苗, 李丹阳.善用"大思政课"争当思政"大先生"[J].学校党建与思想教育, 2022(5):11-18.
[34] 张微, 杨威.新时代构建高校"大思政"育人格局的价值意蕴与实践路径[J].思想政治教育研究, 2022, 38(6):79-83.
[35] 何珊.新时代大学生思政课获得感的生成与提升[J].社会科学家, 2022(9):121-127.
[36] 韩萌, 彭松林.我国公共数字图书馆用户满意度调查分析[J].图书馆界, 2018(2):41-45, 54.
[37] 李秋月, 郭莉.陕西省公共文化数字平台用户满意度实证研究[J].湖北农业科学, 2022, 61(4):196-201.
[38] MrYener.思知机器人[EB/OL].[2023-02-07].http://www.ownthink.com.
[39] W3C.lod-cloud[EB/OL].[2023-03-26].http://www.lod-cloud.net/.
[40] W3C.PROV-O:the PROV ontology[EB/OL].[2023-03-25].https://www.w3.org/TR/prov-o/.
[41] SOLDATOVA L.CISP the proposed core information about scientific papers[J].JISC technology and standards watch, 2007(12):1-38.
[42] 马费成.信息资源管理[M].2版.北京:高等教育出版社, 2014.
[43] Google, Microsoft, Yahoo, Yandex.Schema[EB/OL].[2023-03-09].https://www.schema.org/.
[44] W3C.Semanticweb[EB/OL].[2023-03-05].https://www.semanticweb.cs.vu.nl/2009/11/sem/.
[45] FOAF Project.FOAF[EB/OL].[2023-03-06].https://www.foafproject.org.
[46] W3C.The Organization ontology[EB/OL].[2023-03-05].https://www.w3.org/TR/vocab-org/.
[47] MARC W.GeoNames[EB/OL].[2023-03-11].https://www.geonames.org/ontology/documentation.html.
[48] W3C.Time Ontology in OWL[EB/OL].[2023-03-26].https://www.w3.org/TR/owl-time/.
[49] DAVID S, SILVIO P.CiTO, the citation typing ontology[EB/OL].[2023-03-16].https://sparontologies.github.io/cito/current/cito.html.
[50] TARTIR S, ARPINAR I B.Ontology evaluation and ranking using OntoQA[C]//International conference on semantic computing.Irvine:IEEE, 2007:185-192.
[51] AN J H, PARK Y B.Methodology for automatic ontology generation using database schema information[J].Mobile information systems, 2018(2):1-13.
[52] 洪亮, 石晓月.医学本体构建方法研究——以脑区与自闭症为例[J].信息资源管理学报, 2020, 10(2):80-90.
[53] 王芳, 杨京, 徐路路.面向火灾应急管理的本体构建研究[J].情报学报, 2020, 39(9):914-925.
[54] ALI S, KHUSRO S, Ullah I, et al.SmartOntoSensor:ontology for semantic interpretation of smartphone sensors data for context-aware applications[J].Journal of sensors, 2017(12):1-26.
Options
文章导航

/

〈 〉