SeaLiT 本体——CIDOC-CRM 的扩展，用于海事历史信息的建模与集成
The SeaLiT Ontology -- An Extension of CIDOC-CRM for the Modeling and Integration of Maritime History Information
AI总结：
本文提出海事历史领域本体 SeaLiT Ontology，作为 CIDOC-CRM 的扩展，通过自底向上方法构建并集成多类海事档案数据，支持历史学家进行探索与定量分析。
摘要：
我们描述了 SeaLiT Ontology 的构建与使用，它是 ISO 标准 CIDOC-CRM 的扩展，用于海事历史信息的建模与集成。该本体采用自底向上的方法逐步开发，需要分析大量真实原始数据（档案材料），并依赖领域专家（海事历史学家）的知识与验证。我们介绍了该本体的规范、RDFS 和 OWL 实现，以及利用该数据模型集成来自大量多样档案文件（如船员名单、水手登记册、海军舰船登记册和工资单）信息的知识图谱。我们还描述了一个在这些知识图谱之上运行的应用程序，它通过用户友好界面支持历史学家探索和定量分析集成数据。最后，我们讨论了与该本体的使用、演化和可持续性相关的方面。
英文摘要：
We describe the construction and use of the SeaLiT Ontology, an extension of the ISO standard CIDOC-CRM for the modelling and integration of maritime history information. The ontology has been developed gradually, following a bottom-up approach that required the analysis of large amounts of real primary data (archival material) as well as knowledge and validation by domain experts (maritime historians). We present the specification of the ontology, RDFS and OWL implementations, as well as knowledge graphs that make use of this data model for integrating information originating from a large and diverse set of archival documents, such as crew lists, sailors registers, naval ship registers and payrolls. We also describe an application that operates over these knowledge graphs and which supports historians in exploring and quantitatively analysing the integrated data through a user-friendly interface. Finally, we discuss aspects related to the use, evolution and sustainability of the ontology.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
