Accidental discovery, intentional inquiry: Leveraging linked data to uncover the women of jazz
Accidental discovery, intentional inquiry: Leveraging linked data to uncover the women of jazz
复制标题
意外发现，有意探究：利用关联数据揭开爵士乐界女性的面纱
DOI：
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发表时间：
2016
影响因子：
0.8
通讯作者：
Matthew Miller
中科院分区：
文献类型：
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作者：
M. Cristina Pattuelli;Karen Hwang;Matthew Miller
在这篇文章中，我们讨论了启发式的能力，生成，处理和整合文化遗产相关数据的过程中可能会提供，包括其潜力，以提高艺术和人文研究。更具体地说，我们报告我们目前的工作，检测和分配性别属性的人的实体和语义丰富的一组链接的开放数据（LOD）在爵士乐的历史领域。链接爵士乐-一个正在进行的项目，实验LOD的原则和技术的应用，以文化遗产的材料，提供了这项研究的背景。Linked Jazz旨在从爵士乐历史的数字档案中发现数据和文档之间有意义的联系。它采用口述历史作为命名实体的主要来源，以表示为链接数据。然后，这些实体被语义连接并可视化为社交图。使用分配的性别属性，本文介绍了数据开发过程本身如何提供新的和意想不到的研究查询和参与遗产数据的路径。
In this article we discuss the heuristic capabilities that the process of generating, processing, and integrating cultural heritage linked data may afford, including its potential for enhancing arts and humanities research. More specifically, we report on our current work on detecting and assigning gender properties to person entities and semantically enriching a set of Linked Open Data (LOD) in the domain of history of jazz. Linked Jazz—an ongoing project that experiments with the application of LOD principles and techniques to cultural heritage materials—provided the context for this research. Linked Jazz aims to uncover meaningful connections between data and documents from digital archives of jazz history. It employs oral histories as the main source of named entities to be represented as linked data. The entities are then semantically connected and visualized as social graphs. Using the assignment of gender properties, this article describes how the data development process itself offers new and unanticipated paths of research inquiry and engagement with heritage data.