遇见数据集

SeaLiT Knowledge Graphs - Maritime History Data in RDF using a CIDOC-CRM extension (SeaLiT Ontology)

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Mendeley Data2024-05-10 更新2024-06-29 收录
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SeaLiT Knowledge Graphs is an RDF dataset of maritime history data that has been transcribed (and then transformed) from original archival sources in the context of the SeaLiT Project (Seafaring Lives in Transition, Mediterranean Maritime Labour and Shipping, 1850s-1920s). The underlying data model is the SeaLiT Ontology, an extension of the ISO standard CIDOC-CRM (ISO 21127:2014) for the modelling and integration of maritime history information. The knowledge graphs integrate data of totally 16 different types of archival sources: Crew Lists Crew and displacement list (Roll) Crew List (Ruoli di Equipaggio) General Spanish Crew List Registers / Lists Students Register Civil Register Register of Maritime Personnel Register of Maritime Workers (Matricole della gente di mare) Sailors Register (Libro de registro de marineros) Naval Ship Register List Seagoing Personnel Lists of ships Censuses Census La Ciotat First National all-Russian Census of the Russian Empire Payrolls Payrolls of private archives and libraries in Greece Payrolls of Russian Steam Navigation and Trading Company Employment records Shipyards of Messageries Maritimes, La Ciotat More information about the archival sources are available through the SeaLiT website. Data exploration applications over these sources are also publicly available (SeaLiT Catalogues, SeaLiT ResearchSpace). Data from these archival sources has been transcribed in tabular form and then curated by historians of SeaLiT using the FAST CAT system. The transcripts (records), together with the curated vocabulary terms and entity instances (ships, persons, locations, organizations), are then transformed to RDF using the SeaLiT Ontology as the target (domain) model. To this end, the corresponding schema mappings between the original schemata and the ontology were defined using the X3ML mapping definition language, that were subsequently used for delivering the RDF datasets. More information about the FAST CAT system and the data transcription, curation and transformation processes can be found in the following paper: P. Fafalios, K. Petrakis, G. Samaritakis, K. Doerr, A. Kritsotaki, Y. Tzitzikas, M. Doerr, "FAST CAT: Collaborative Data Entry and Curation for Semantic Interoperability in Digital Humanities", ACM Journal on Computing and Cultural Heritage, 2021. https://doi.org/10.1145/3461460 [pdf, bib] The RDF dataset is provided as a set of TriG files per record per archival source. For each record, the dataset provides: i) one trig file for the record's data (records.trig), ii) one trig file for the record's (curated) vocabulary terms (vocabularies.trig), and iii) four trig files for the record's (curated) entity instances (ships.trig, persons.trig, persons.trig, organizations.trig). We also provide the RDFS files of the used ontologies (SeaLiT Ontology verson 1.0, CIDOC-CRM version 7.1.1).

SeaLiT知识图谱是一套海事历史数据的资源描述框架(Resource Description Framework,RDF)数据集,其数据源自SeaLiT项目(转型中的航海生活:1850年代至1920年代地中海海事劳工与航运)的原始档案资源,经转录与转换处理后得到。该数据集基于SeaLiT本体构建,此本体是对国际标准CIDOC-CRM(ISO 21127:2014)的扩展,用于海事历史信息的建模与集成。本知识图谱共整合了16类不同的档案资源:船员名单与排水量清单(Roll)、船员名单(Ruoli di Equipaggio)、西班牙通用船员名单登记簿/清单、学生登记簿、民事登记簿、海事人员登记簿、海员登记簿(Libro de registro de marineros)、海军船舶登记簿、远洋人员名单、船舶普查清单、拉西约塔普查、俄罗斯帝国首次全俄人口普查、薪酬表、希腊私人档案馆与图书馆的薪酬表、俄罗斯蒸汽航运与贸易公司薪酬表、雇佣记录、法国海洋邮船公司(Messageries Maritimes)拉西约塔造船厂档案。更多档案资源相关信息可通过SeaLiT官方网站查询,基于这些资源的数据探索应用(SeaLiT目录、SeaLiT ResearchSpace)也已对外公开。上述档案资源的数据首先被转录为表格形式,随后由SeaLiT项目的历史学家借助FAST CAT系统进行整理。转录得到的记录与整理后的词汇术语、实体实例(船舶、人物、地点、组织),随后以SeaLiT本体作为目标领域模型,转换为RDF格式数据。为此,研究人员使用X3ML映射定义语言,定义了原始模式与本体之间的对应模式映射,随后利用这些映射生成RDF数据集。关于FAST CAT系统以及数据转录、整理与转换流程的更多细节,可参阅以下论文:P. Fafalios、K. Petrakis、G. Samaritakis、K. Doerr、A. Kritsotaki、Y. Tzitzikas、M. Doerr,"FAST CAT:面向数字人文领域语义互操作性的协同数据录入与整理",ACM计算与文化遗产期刊(ACM Journal on Computing and Cultural Heritage),2021年,https://doi.org/10.1145/3461460 [pdf, bib]。本RDF数据集以每份档案记录对应一组TriG文件的形式提供。针对每份记录,数据集提供:i)一份记录数据的TriG文件(records.trig);ii)一份记录整理后词汇术语的TriG文件(vocabularies.trig);iii)四份记录整理后实体实例的TriG文件(ships.trig、persons.trig、persons.trig、organizations.trig)。我们还提供了所用本体的RDFS文件(SeaLiT本体v1.0、CIDOC-CRM v7.1.1)。

创建时间:
2023-06-28
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