[Objective] The study constructs a knowledge graph of academic relationships among scholars in China’s Song Dynasty, aiming to provide new techniques for knowledge exploration in humanity research. [Context] Our study addresses the usability and visualization issues facing digital collections (i.e. the China Biographical Database Project), and establishes a knowledge portal for history researchers and amateurs. [Methods] First, we built the ontology of ancient Chinese scholars. Then, we transformed their relationship to RDF data for the knowledge graph. Finally, we created an online platform to demonstrate the visualization results. [Results] We created the knowledge graph with five classes and 39 relationships based on 48,018 peoples and 6,599 geographic data. The Song’s Academic Inheritance Platform integrates the RelFinder visualization tool to display the entities’ relationships in the knowledge graph. [Conclusions] This study offers practical solutions for semantic research on the China Biographical Database Project and related fields in history.
(Liu Wei, Ye Ying.Exploring Technical System and Theoretical Structure of Digital Humanities[J]. Journal of Library Science in China, 2017, 43(5): 32-41.)
[4]
The China Historical Geographic Information System, CHGIS [EB/OL]. [2019-06-13]..
[5]
中华文明之时空基础架构[EB/OL]. [2019-06-13]. .
[5]
(Chinese Civilization in Time and Space [EB/OL]. [2019-06-13].
[6]
Liu C L, Huang C K, Wang H, et al.Mining Local Gazetteers of Literary Chinese with CRF and Pattern Based Methods for Biographical Information in Chinese History[C]//Proceedings of 2015 IEEE International Conference on Big Data. IEEE, 2015: 1629-1638.
(Wang Dongbo, Gao Ruiqing, Shen Si, et al.Research on Automatic Recognition of Basic Entity Component of Historic Events for Pre-Qin Classics[J]. Journal of the National Library of China, 2018(1): 65-77.)
(Ouyang Jian.Visual Analysis and Exploration of Ancient Texts for Digital Humanities Research[J]. Journal of Library Science in China, 2016, 42(2): 66-80.)
[9]
Allen C, Luo H, Murdock J, et al. Topic Modeling the HànDiăn Ancient Classics[OL]. arXiv Preprint. arXiv:1702.00860, 2017.
[10]
Nichols R, Slingerland E, Nielbo K L, et al.Modeling the Contested Relationship Between Analects, Mencius, and Xunzi: Preliminary Evidence from a Machine-Learning Approach[J]. The Journal of Asian Studies, 2018, 77(1): 19-57.
(Yan Chengxi, Wang Jun.Digital Humanistic Perspective: A Study on the Visualization of Political Network in Song Dynasty Based on Symbolic Analysis[J]. Journal of Library Science in China, 2018, 44(5): 87-103.)
[12]
Kyvernitou I, Bikakis A. An Ontology for Gendered Content Representation of Cultural Heritage Artefacts[J/OL]. Digital Humanities Quarterly, 2017, 11(3). .
[13]
Chang R Y, Huang C R, Lo F J, et al.From General Ontology to Specialized Ontology: A Study Based on a Single Author Historical Corpus[C]// Proceedings of OntoLex 2005- Ontologies and Lexical Resources, 2005.
[14]
Huang C R, Lo F, Chang R Y, et al.Reconstructing the Ontology of the Tang Dynasty: A Pilot Study of the Shakespearean-garden Approach[C]//Proceedings of OntoLex 2004 Workshop. 2004.
[15]
Camarda D V, Mazzini S, Antonuccio A.LodLive, Exploring the Web of Data[C]//Proceedings of the 8th International Conference on Semantic Systems. ACM, 2012: 197-200.
(Chen Tao, Liu Wei, Zhu Qinghua.SinoPedia: An Unified Chinese Terminology Service Platform Based on Linked Data[J]. Journal of Library Science in China, 2018, 44(4): 4-18.)
[17]
Faber P, Mairal R, Magaña P.Linking a Domain-Specific Ontology to a General Ontology[C]//Proceedings of the 24th International Florida Artificial Intelligence Research Society Conference. 2011.
[18]
Bäumer F S, Gim J, Jeong D H, et al.Linked Open Data System for Scientific Data Sets[C]//Proceedings of the 1st International Workshop on Patent Mining and Its Applications. 2014.
[19]
Linked Open Data Platform for EBI Data[EB/OL]. [2018-09-06]..
[20]
Jupp S, Malone J, Bolleman J, et al.The EBI RDF Platform: Linked Open Data for the Life Sciences[J]. Bioinformatics, 2014, 30(9): 1338-1339.
Kauppinen T, de Espindola G M, Jones J, et al. Linked Brazilian Amazon Rainforest Data[J]. Semantic Web, 2013, 5(2): 151-155.
[23]
Scheider S, Degbelo A, Lemmens R, et al.Exploratory Querying of SPARQL Endpoints in Space and Time[J]. Semantic Web, 2016, 8(1): 65-86.
[24]
Klímek J, Helmich J, Necaský M.Application of the Linked Data Visualization Model on Real World Data from the Czech LOD Cloud[C]//Proceedings of LDOW 2014. 2014.
[25]
Niepert M, Buckner C, Murdock J, et al.InPhO: A System for Collaboratively Populating and Extending a Dynamic Ontology[C]//Proceedings of the 8th ACM/IEEE-CS Joint Conference on Digital Libraries. ACM, 2008.
(Xia Cuijuan, Liu Wei, Chen Tao, et al.A Genealogy Data Service Platform Implemented with Linked Data Technology[J]. Journal of Library Science in China, 2016, 42(3): 27-38.)
[27]
华东师范大学方志库[EB/OL].[2018-09-05]. .
[27]
(Local Annals Database of East China Normal University Library[EB/OL]. [2018-09-05].
[28]
唐诗别苑[EB/OL]. [2018-09-05]. .
[28]
(Garden of Tang Poetry[EB/OL]. [2018-09-05].
[29]
Heim P, Hellmann S, Lehmann J, et al.RelFinder: Revealing Relationships in RDF Knowledge Bases[C]//Proceedings of International Conference on Semantic and Digital Media Technologies. Springer, Berlin, Heidelberg, 2009: 182-187.
(Shi Zeshun, Xiao Ming.The Semantic Relation Discovery Practice of Library and Information Science Linked Data Based on RelFinder[J]. Library and Information Service, 2017, 61(17): 139-148.)