arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1406.0216cs.DL
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LODE:将数字人文内容链接到数据网络

LODE: Linking Digital Humanities Content to the Web of Data

Jakob Huber, Timo Sztyler, Jan Noessner, Jaimie Murdock, Colin Allen, Mathias Niepert

摘要:

许多数字人文项目以文本、图像和元数据的形式维护其数据汇集。虽然数据可以以多种格式存储,从纯文本到XML再到关系数据库,但在过去五年中,使用资源描述框架(RDF)作为标准化表示形式已经获得了相当大的吸引力。几乎每一个数字人文会议都至少有一个会议涉及数字人文、RDF和关联数据的主题。虽然大多数现有的关联数据工作都集中在改进实体匹配的算法上,但LinkedHumanities项目的目标是构建“开箱即用”的数字人文工具,使人文学者,计算机科学家,图书馆员和信息科学家能够使用它们。在本文中,我们报告了作为LinkedHumanities项目的一部分开发的链接开放数据增强器(LODE)框架。通过LODE,我们支持非技术用户使用来自Linked Open Data云的高质量数据丰富本地RDF存储库。LODE链接并增强了本地RDF存储库,而不会影响数据的质量。特别是,LODE通过提供直观的用户界面和使用定制的匹配算法建议高质量的链接候选人,在增强和链接过程中支持用户。我们希望LODE框架将有助于数字人文学者补充其他数字人文工具。

英文摘要:

Numerous digital humanities projects maintain their data collections in the form of text, images, and metadata. While data may be stored in many formats, from plain text to XML to relational databases, the use of the resource description framework (RDF) as a standardized representation has gained considerable traction during the last five years. Almost every digital humanities meeting has at least one session concerned with the topic of digital humanities, RDF, and linked data. While most existing work in linked data has focused on improving algorithms for entity matching, the aim of the LinkedHumanities project is to build digital humanities tools that work "out of the box," enabling their use by humanities scholars, computer scientists, librarians, and information scientists alike. With this paper, we report on the Linked Open Data Enhancer (LODE) framework developed as part of the LinkedHumanities project. With LODE we support non-technical users to enrich a local RDF repository with high-quality data from the Linked Open Data cloud. LODE links and enhances the local RDF repository without compromising the quality of the data. In particular, LODE supports the user in the enhancement and linking process by providing intuitive user-interfaces and by suggesting high-quality linking candidates using tailored matching algorithms. We hope that the LODE framework will be useful to digital humanities scholars complementing other digital humanities tools.

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。

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