整合中世纪早期坟墓数据:利用殡葬数据应用简介将 THANADOS 数据库映射到 ARIADNE 基础设施

Q2 Arts and Humanities
Edeltraud Aspöck, Stefan Eichert, Maria Theodoridou, A. Felicetti, Nina Richards
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引用次数: 0

摘要

本文讨论了殡葬数据应用简介(AP)的创建,以及如何将 THANADOS 人类学和考古学墓葬数据库整合到 ARIADNEplus 基础设施中。本体论提高了数据的互操作性和重复使用的潜力。CIDOC CRM 是一个正式的本体论,旨在促进异质文化遗产信息的整合、调解和交换。AP 提供了示范性的映射,其他研究人员可将其作为导向。在创建和测试 ARIADNE 停尸数据 AP 时,中世纪早期墓地的数据提供了一个理想的案例研究,因为遗址之间具有高度的相似性。对中世纪早期墓地数据的映射表明,映射到本体在几个方面有助于数据的互操作性。首先,它可以揭示原始数据集中的不一致之处,并改进未来项目的数据组织。其次,它可以在整个 ARIADNE 基础设施中查询不同来源的坟墓和墓地信息。最后,本文提供了一个实例,说明如何在多个提供者之间汇总考古数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integrating Data on Early Medieval Graves: Mapping the THANADOS database to the ARIADNE infrastructure with the Mortuary Data Application Profile
This article discusses the creation of an Application Profile (AP) for mortuary data and how it was used to integrate the THANADOS anthropological and archaeological database of sepultures in the ARIADNEplus infrastructure. Ontologies increase data interoperability and their potential for being reused. The CIDOC CRM is a formal ontology designed to facilitate the integration, mediation, and interchange of heterogeneous cultural heritage information. APs provide exemplary mappings that other researchers can use as an orientation. For creating and testing the ARIADNE mortuary data AP, data from early medieval cemeteries provided an ideal case study because of the high degree of similarity between sites. The mapping of early medieval cemetery data has shown that mapping to an ontology contributes to data interoperability in several ways. Firstly, it may reveal inconsistencies in the native dataset and improve data organisation for future projects. Secondly, it enables the querying of information concerning graves and cemeteries from different sources across the ARIADNE infrastructure. Finally, this article provides an example of how archaeological data can be aggregated across multiple providers.
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来源期刊
Internet Archaeology
Internet Archaeology Arts and Humanities-Archeology (arts and humanities)
CiteScore
1.10
自引率
0.00%
发文量
9
审稿时长
16 weeks
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