研究论文

融合多维关系的南海维权证据知识元库构建模型初探

  • 郑德俊 ,
  • 程为 ,
  • 杨海平 ,
  • 朱梦蝶 ,
  • 丛天时 ,
  • 石江瀚
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  • 1 南京农业大学信息管理学院 南京 210095;
    2 南京大学信息管理学院 南京 210023
郑德俊,教授,博士生导师,E-mail:zdejun@njau.edu.cn;程为,博士研究生;杨海平,教授,博士生导师;朱梦蝶,博士研究生;丛天时,博士研究生;石江瀚,博士研究生。

收稿日期: 2024-06-11

  修回日期: 2024-09-18

  网络出版日期: 2025-03-07

基金资助

本文系国家社会科学基金重大项目“南海疆文献资料整理中的知识发现与维权证据链构建研究”(项目编号:19ZDA347)和南京大学新时代文科卓越研究计划中长期研究专项“南海维权证据的语义描述及智能推荐”(项目编号:2022300023)研究成果之一。

A Model for the Evidence Knowledge Element Database of South China Sea Rights Protection Incorporating Multidimensional Relationships

  • Zheng Dejun ,
  • Cheng Wei ,
  • Yang Haiping ,
  • Zhu Mengdie ,
  • Cong Tianshi ,
  • Shi Jianghan
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  • 1 College of Information Management, Nanjing Agricultural University, Nanjing 210095;
    2 School of Information Management, Nanjing University, Nanjing 210023
Zheng Dejun,professor,doctoral supervisor,E-mail:zdejun@njau.edu.cn;Cheng Wei,doctoral candidate;Yang Haiping,professor,doctoral supervisor;Zhu Mengdie,doctoral candidate;Cong Tianshi,doctoral candidate;Shi Jianghan,doctoral candidate.

Received date: 2024-06-11

  Revised date: 2024-09-18

  Online published: 2025-03-07

Supported by

This work is supported by the National Social Science Fund of China project titled “Research on Knowledge Discovery and Construction of Evidence Chain of Rights Protection in the Documentation of the South China Sea” (Grant No. 19ZDA347), and the Nanjing University New Era Liberal Arts Excellence Research Program for Medium- and Long-Term Research project titled “Semantic Description and Intelligent Recommendation of Evidence for Rights Defense in the South China Sea” (Grant No. 2022300023).

摘要

[目的/意义] 融合南海维权证据间潜在多维关系构建知识元库,能够深层次、全方位地表示海量证据及其关联,进而为南海维权证据链构建提供规模化、高质量、细粒度的标注语料支持。[方法/过程] 首先,参考已有知识元库构建思路,基于知识元表示与知识元链接理论,面向南海维权证据链构建的需求,提出融合多维关系的南海维权证据知识元库构建理论框架,并深入阐释证据知识元表示与证据知识元关联两方面核心内容;其次,基于理论框架提出南海维权证据知识元库构建的实现路径,由浅至深分别在载体层、内容层、价值层与关联层对证据知识元进行分阶段的建模,通过4个子库汇总整合构成知识元库;最后,选取部分文本及地图证据知识元进行分析,验证所提理论框架与实现路径的可行性。[结果/结论] 能够为南海文献资料整理、知识元库构建及南海维权证据链构建等相关研究提供一种参考思路,实践层面的知识元库构建有待进一步研究与实现。

本文引用格式

郑德俊 , 程为 , 杨海平 , 朱梦蝶 , 丛天时 , 石江瀚 . 融合多维关系的南海维权证据知识元库构建模型初探[J]. 图书情报工作, 2025 , 69(5) : 39 -49 . DOI: 10.13266/j.issn.0252-3116.2025.05.004

Abstract

[Purpose/Significance] The knowledge element database is constructed by integrating the potential multidimensional relationship between South China Sea rights protection evidence, which can represent the massive evidence and its association in a deep and all-round way. In turn, it provides large-scale, high-quality, and fine-grained annotated corpus to support the construction of an evidence chain for South China Sea rights protection. [Method/Process] First, considering the existing knowledge element database and based on the knowledge element representation and linking theories, facing the needs of evidence chain construction, this paper proposed a theoretical framework for an evidence knowledge element database for South China Sea rights protection and deeply explained the core content of evidence knowledge element representation and evidence knowledge element association. Second, based on this theoretical model, the construction path of the knowledge element database was proposed. The evidence knowledge elements were modeled in stages from shallow to deep in the carrier layer, content layer, value layer, and association layer, and integrated into a knowledge element database through the four sub-databases. Third, some text and map evidence knowledge elements were selected to verify the feasibility of the proposed theoretical framework and realization path. [Result/Conclusion] It can provide a reference for the relevant research on the South China Sea document collection, knowledge element database, and the evidence chain for South China Sea rights protection. The knowledge element database for scaled multidimensional South China Sea rights protection evidence needs further research and implementation.

参考文献

[1] 索传军, 盖双双. 知识元的内涵、结构与描述模型研究[J]. 中国图书馆学报, 2018, 44(4): 54-72. (SUO C J, GAI S S. The connotation, structure and description model of knowledge unit[J]. Journal of library science in China, 2018, 44(4): 54-72.)
[2] 马海云, 薛翔. 面向知识服务的领域知识结构研究[J]. 情报学报, 2022, 41(1): 73-82. (MA H Y, XUE X. Research on domain knowledge structure oriented to knowledge services[J]. Journal of the China Society for Scientific and Technical Information, 2022, 41(1): 73-82.)
[3] 陈力. 数字人文视域下的古籍数字化与古典知识库建设问题[J]. 中国图书馆学报, 2022, 48(2): 36-46. (CHEN L. Digitalization of ancient books and construction of classical knowledge repository from the perspective of digital humanities[J]. Journal of library science in China, 2022, 48(2): 36-46.)
[4] 孙浩洋, 沈固朝. 民国南海文献知识元内容抽取规则研究[J]. 情报杂志, 2022, 41(12): 132-139. (SUN H Y, SHEN G C. Research on the extraction rules of knowledge element contents in the South China Sea documents of the Republic of China period[J]. Journal of intelligence, 2022, 41(12): 132-139.)
[5] 程为, 司徒凌云, 郑德俊, 等. 面向南海叙事的事件要素自动抽取方法研究[J]. 情报科学, 2023, 41(3): 155-163. (CHENG W, SITU L Y, ZHENG D J, et al. Automatic extraction method of event elements for the South China Sea narrative[J]. Information science, 2023, 41(3): 155-163.)
[6] 张卫彬. 中国拥有南沙群岛主权证据链的构造[J]. 社会科学, 2019(9): 85-96. (ZHANG W B. The structure of evidence chains of China’s sovereignty over Nansha Islands[J]. Journal of social sciences, 2019(9): 85-96.)
[7] 齐小英, 李昕尉, 杨海平. 基于意图和情感的南海学术论文引用特征研究[J]. 数据分析与知识发现, 2022, 6(12): 53-69. (QI X Y, LI X W, YANG H P. Citation characteristics of scholarly articles on South China Sea based on intentions and sentiments[J]. Data analysis and knowledge discovery, 2022, 6(12): 53-69.)
[8] 刘韵清. 领土主权争端中证据链的价值与应用[J]. 南大法学, 2021(3): 22-40. (LIU Y Q. The value and application of chain of evidence in territorial disputes[J]. Nanjing University law journal, 2021(3): 22-40.)
[9] 刘炜. 关联数据: 概念、技术及应用展望[J]. 大学图书馆学报, 2011, 29(2): 5-12. (LIU W. overview on linked data:concept, technology and implementation[J]. Journal of academic libraries, 2011, 29(2): 5-12.)
[10] GNOLI C. Metadata about what? Distinguishing between ontic, epistemic, and documental dimensions in knowledge organization[J]. Knowledge organization, 2012, 39(4): 268-275.
[11] 艾丹祥, 张玉峰. 利用主题图建立概念知识库[J]. 图书情报知识, 2003(2): 48-50, 53. (AI D X, ZHANG Y F. Utilizing topic maps to build a conceptual knowledge base[J]. Documentation, information & knowledge, 2003(2): 48-50, 53.)
[12] 谢庆球, 秦春秀, 杨智娟, 等. 知识元层次结构表示方法研究[J]. 情报理论与实践, 2017, 40(4): 26-31. (XIE Q Q, QIN C X, YANG Z J, et al. Research on the method of knowledge element’s hierarchical structure representation[J]. Information studies: theory & application, 2017, 40(4): 26-31.)
[13] SHOTTON D. Semantic publishing: the coming revolution in scientific journal publishing[J]. Learned publishing, 2009, 22(2): 85-94.
[14] DING Y. A review of ontologies with the Semantic Web in view[J]. Journal of information science, 2001, 27(6): 377-384.
[15] HOGAN A, BLOMQVIST E, COCHEZ M, et al. Knowledge graphs[J]. ACM computing surveys, 2021, 54(4): e71.
[16] 李阳, 张诗莹, 盛东方. 情报与事理图谱的关联逻辑及发展思考[J]. 图书与情报, 2023(2): 120-126. (LI Y, ZHANG S Y, SHENG D F. Thinking about the associative logic and development of intelligence and eventic graph[J]. Library & information, 2023(2): 120-126.)
[17] 高劲松, 马倩倩, 周习曼, 等. 文献知识元语义链接的图式存储研究[J]. 情报科学, 2015, 33(1): 126-131. (GAO J S, MA Q Q, ZHOU X M, et al. Graph storage of semantic literature knowledge element linking[J]. Information science, 2015, 33(1): 126-131.)
[18] SMIRAGLIA R P. Domain analysis of domain analysis for knowledge organization: observations on an emergent methodological cluster[J]. Knowledge organization, 2015, 42(8): 602-611.
[19] FRICKE M. Reviews of concepts in knowledge organization[J]. Knowledge organization, 2016, 43(7): 539-549.
[20] SLENTER D N, KUTMON M, HANSPERS K, et al. WikiPathways: a multifaceted pathway database bridging metabolomics to other omics research[J]. Nucleic acids research, 2018, 46(D1): 661-667.
[21] CASPI R, BILLINGTON R, FULCHER C A, et al. The MetaCyc database of metabolic pathways and enzymes[J]. Nucleic acids research, 2018, 46(D1): 633-639.
[22] BLAKE J A, EPPIG J T, KADIN J A, et al. Mouse Genome Database (MGD)-2017: community knowledge resource for the laboratory mouse[J]. Nucleic acids research, 2017, 45(D1): 723-729.
[23] HOFFART J, SUCHANEK F M, BERBERICH K, et al. YAGO2: a spatially and temporally enhanced knowledge base from Wikipedia[J]. Artificial intelligence, 2013, 194(S1): 28-61.
[24] LEHMANN J, ISELE R, JAKOB M, et al. DBpedia - a large-scale, multilingual knowledge base extracted from Wikipedia[J]. Semantic web, 2015, 6(2): 167-195.
[25] ASGARI-BIDHENDI M, HADIAN A, MINAEI-BIDGOLI B. FarsBase: The Persian knowledge graph[J]. Semantic web, 2019, 10(6): 1169-1196.
[26] 文玉锋, 徐姣姣, 周文杰. 古籍文献知识组织由静态检索向动态表征趋向的理论解析[J]. 图书与情报, 2022(5): 10-16. (WEN Y F, XU J J, ZHOU W J. Theoretical analysis of knowledge organization tendency of ancient theoretical analysis of knowledge organization tendency of ancient[J]. Library & information, 2022(5): 10-16.)
[27] 程为, 郑轩昂, 郑德俊, 等. 面向学术全文本的南海维权证据知识元自动识别研究[J]. 情报杂志, 2023, 42(9): 141-148. (CHENG W, ZHENG X A, ZHENG D J, et al. Research on automatic recognition of evidence knowledge element of South China Sea rights protection for full academic texts[J]. Journal of intelligence, 2023, 42(9): 141-148.)
[28] 栾宇, 张海涛, 刘伟利, 等. 突发事件超本体:结构模型及构建方法[J]. 情报理论与实践, 2023, 46(3): 43-50. (LUAN Y, ZHANG H T, LIU W L, et al. Information studies: theory & application[J]. Information studies: theory & application, 2023, 46(3): 43-50.)
[29] 刘雅姝, 栾宇, 周红磊, 等. 基于事理图谱的重大突发事件动态演变研究[J]. 图书情报工作, 2022, 66(10): 143-151. (LIU Y S, LUAN Y, ZHOU H L, et al. Research on the dynamic evolution of major emergencies based on event knowledge graph[J]. Library and information service, 2022, 66(10): 143-151.)
[30] 王山. 基于OAVU四元组的数值型知识元表示方法与实践[J]. 现代情报, 2022, 42(8): 20-27. (WANG S. Numerical knowledge element representation method and application based on OAVU Quadruple structure[J]. Journal of modern information, 2022, 42(8): 20-27.)
[31] 王子龙, 戎军涛. 概念知识元的语义融合生成路径与框架[J]. 信息资源管理学报, 2023, 13(4): 111-121. (WANG Z L, RONG J T. Semantic fusion generation path and framework of conceptual knowledge elements[J]. Journal of information resources management, 2023, 13(4): 111-121.)
[32] 索传军, 赖海媚. 学术论文问题知识元的类型与描述规则[J]. 中国图书馆学报, 2021, 47(2): 95-109. (SUO C J, LAI H M. Types and description rules of problem knowledge units in academic papers[J]. Journal of library science in China, 2021, 47(2): 95-109.)
[33] 王忠义, 沈雪莹, 黄京. 科技文献资源中方法知识元的抽取研究[J]. 情报科学, 2021, 39(1): 13-20. (WANG Z Y, SHEN X Y, HUANG J. Extraction of method knowledge elements in scientific literature[J]. Information science, 2021, 39(1): 13-20.)
[34] 索传军, 王春明. 基于引文的知识转移类型与方式分析[J]. 情报理论与实践, 2023, 46(4): 114-121. (SUO C J, WANG C M. Analysis of knowledge transfer types and modes based on citations[J]. Information studies: theory & application, 2023, 46(4): 114-121.)
[35] 赵雪芹, 李天娥, 曾刚. 面向数字人文图像资源的知识元本体构建及关联展示研究[J]. 情报理论与实践, 2022, 45(9): 180-187. (ZHAO X Q, LI T E, ZENG G. Research on knowledge meta ontology construction and association display for digital humanities image resources[J]. Information studies: theory & application, 2022, 45(9): 180-187.)
[36] FU Z, CAO Y, ZHAO Y. Identifying knowledge evolution in computer science from the perspective of academic genealogy[J]. Journal of informetrics, 2024, 18(2): 101523.
[37] JIANG X, LIU J. Extracting the evolutionary backbone of scientific domains: the semantic main path network analysis approach based on citation context analysis[J]. Journal of the Association for Information Science and Technology, 2023, 74(5): 546-569.
[38] 周林兴, 王帅. 事理图谱模型下的重大突发事件网络舆情诱发与缓释机理研究[J]. 图书情报工作, 2023, 67(12): 58-69. (ZHOU L X, WANG S. Research on the triggering and mitigating mechanisms of network public research on the triggering and mitigating mechanisms of network public[J]. Library and information service, 2023, 67(12): 58-69.)
[39] 杨海平, 齐小英, 符鹏, 等. 南海维权信息资源管理知识体系建构路径[J]. 图书情报工作, 2023, 67(14): 85-93. (YANG H P, QI X Y, FU P, et al. The construction path of South China Sea rights protection information resource management knowledge system[J]. Library and information service, 2023, 67(14): 85-93.)
[40] 华林, 董慧囡, 谭雨琦. 维护领海主权视域下我国海疆历史档案证据性开发研究[J]. 档案学研究, 2023(1): 115-123. (HUA L, DONG H N, TAN Y Q. Research on evidentiary development of China’s maritime territorial historical archives from the perspective of safeguarding territorial sea sovereignty[J]. Archives science study, 2023(1): 115-123.)
[41] 司徒凌云, 孙鹤, 石进, 等. 多模态南海疆维权证据本体模型构建[J]. 情报杂志, 2024, 43(4): 78-88. (SITU L Y, SUN H, SHI J, et al. Research on the construction of multi-modal evidence ontology model for safeguarding rights in South China Sea[J]. Journal of intelligence, 2024, 43(4): 78-88.)
[42] 戎军涛, 索传军, 周彦廷, 等. 基于创新知识元谱系的学术论文新颖性测度研究[J]. 图书情报工作, 2024, 68(1): 27-38. (RONG J T, SUO C J, ZHOU Y T, et al. Novelty measurement of academic literature based on the innovative knowledge elements genealogy[J]. Library and information service, 2024, 68(1): 27-38.)
[43] 张保生. 事实、证据与事实认定[J]. 中国社会科学, 2017(8): 110-130, 206. (ZHANG B S. Facts, evidence and ascertaining the facts[J]. Social sciences in China, 2017(8): 110-130, 206.)
[44] 栗峥. 证据链与结构主义[J]. 中国法学, 2017(2): 173-193. (LI Z. The evidence chain and the structuralism[J]. China legal science, 2017(2): 173-193.)
[45] 秦东. 南海维权历史文献的关联数据研究[D]. 南京: 南京大学, 2016. (QIN D. Research on historical documents about safeguarding sovereignty of South China Sea based on linked data[D]. Nanjing: Nanjing University, 2016.)
[46] 彭玉芳, 王妍睿, 杨海平, 等. 总体国家安全观下的南海维权档案系统构建研究[J]. 情报科学, 2024, 42(5): 35-47. (PENG Y F, WANG Y R, YANG H P, et al. The construction of the South China Sea rights protection archives system under the overall national security concept[J]. Information Science, 2024, 42(5): 35-47.)
[47] 王燕红, 司徒凌云, 杨海平, 等. 基于知识图谱的书证目录知识发现研究——以南海书证目录为例[J]. 情报杂志, 2022, 41(3): 173-180. (WANG Y H, SITU L Y, YANG H P, et al. Research on knowledge discovery of documentary evidence catalog based on knowledge map: taking the South China Sea document evidence catalog as an example[J]. Journal of intelligence, 2022, 41(3): 173-180.)
[48] 王燕红, 司徒凌云, 杨海平, 等. 基于证明力的细粒度南海疆维权证据关联初探[J]. 图书情报工作, 2022, 66(18): 95-104. (WANG Y H, SITU L Y, YANG H P, et al. Evidence association of fine grain rights protection in South China Sea based on the size of probative force[J]. Library and information service, 2022, 66(18): 95-104.)
[49] 程为, 郑德俊, 朱梦蝶, 等. 知识元逻辑关系抽取方法研究[J]. 情报学报, 2024, 43(7): 862-874. (CHENG W, ZHENG D J, ZHU M D, et al. Knowledge element logical relation extraction method[J]. Journal of the China Society for Scientific and Technical Information, 2024, 43(7): 862-874.)
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