Enriching Archival Linked Data Descriptions with Information from Wikidata and DBpedia

被引:0
作者
Koch, Ines [1 ,2 ]
Ribero, Cristina [1 ,2 ]
Poveda-Villalon, Maria [3 ]
Rico, Mariano [3 ]
Lopes, Carla Teixeira [1 ,2 ]
机构
[1] Univ Porto, Fac Engn, Porto, Portugal
[2] INESC TEC, Porto, Portugal
[3] Univ Politecn Madrid, Ontol Engn Grp, Madrid, Spain
来源
LINKING THEORY AND PRACTICE OF DIGITAL LIBRARIES, PT I, TPDL 2024 | 2024年 / 15177卷
关键词
Archival description; ArchOnto; DBpedia; Wikidata; Data propagation;
D O I
10.1007/978-3-031-72437-4_23
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Various sectors within the heritage domain have developed linked data models to describe their cultural artefacts comprehensively. Within the archival domain, ArchOnto, a data model rooted in CIDOC CRM, uses linked data to open archival information to new uses through the prism of linked data. This paper seeks to investigate the potential to use information in archival records in a larger context. It aims to leverage classes and properties sourced from repositories deemed informal due to their crowd-sourcing nature and the possibility of inconsistencies or lack of precision in the data but rich in content, such as the cases of Wikidata and DBpedia. The anticipated outcome is attaining a more comprehensive and expressive archival description, fostering enhanced understanding and assimilation of archival information among domain specialists and lay users. To achieve this, we first analyse existing archive records currently described under the ISAD(G) standard to discern the typologies of entities involved. Subsequently, we map these entities within the ArchOnto ontology and establish correspondences with alternative models. We observed that entities associated with people, places, and events benefited the most from integrating properties sourced from Wikidata and DBpedia. This integration enhanced their comprehensibility and enriched them at a semantic level.
引用
收藏
页码:396 / 412
页数:17
相关论文
共 10 条
[1]   Wikidata and DBpedia: A Comparative Study [J].
Abian, D. ;
Guerra, F. ;
Martinez-Romanos, J. ;
Trillo-Lado, Raquel .
SEMANTIC KEYWORD-BASED SEARCH ON STRUCTURED DATA SOURCES, IKC 2017, 2018, 10546 :142-154
[2]   DBpedia: A nucleus for a web of open data [J].
Auer, Soeren ;
Bizer, Christian ;
Kobilarov, Georgi ;
Lehmann, Jens ;
Cyganiak, Richard ;
Ives, Zachary .
SEMANTIC WEB, PROCEEDINGS, 2007, 4825 :722-+
[3]  
Erxleben F, 2014, LECT NOTES COMPUT SC, V8796, P50, DOI 10.1007/978-3-319-11964-9_4
[4]  
Hellmann S, 2009, LECT NOTES COMPUT SC, V5871, P1209, DOI 10.1007/978-3-642-05151-7_33
[5]  
Hiremath B.K., 2016, Imperial Journal of Interdisciplinary Research, V2, P705, DOI [10.1109/ICOIN53446.2022.9687180, DOI 10.1109/ICOIN53446.2022.9687180]
[6]  
ICOM/CIDOC CRM Special Interest Group, 2024, Definition of the CIDOC conceptual reference model
[7]  
Koch I, 2024, Dataset, INESCTEC, DOI [10.25747/SRYA-8115, DOI 10.25747/SRYA-8115]
[8]   Moving from ISAD(G) to a CIDOC CRM-based Linked Data Model in the Portuguese Archives [J].
Koch, Ines ;
Lopes, Carla Teixeira ;
Ribeiro, Cristina .
ACM JOURNAL ON COMPUTING AND CULTURAL HERITAGE, 2023, 16 (04)
[9]   DBpedia - A large-scale, multilingual knowledge base extracted from Wikipedia [J].
Lehmann, Jens ;
Isele, Robert ;
Jakob, Max ;
Jentzsch, Anja ;
Kontokostas, Dimitris ;
Mendes, Pablo N. ;
Hellmann, Sebastian ;
Morsey, Mohamed ;
van Kleef, Patrick ;
Auer, Soeren ;
Bizer, Christian .
SEMANTIC WEB, 2015, 6 (02) :167-195
[10]  
Piuri V., 2019, LNNS, V67, DOI [10.1007/978-981-13-6031-2, DOI 10.1007/978-981-13-6031-2]