All the Things You Are: Accessing An Enriched Musicological Prosopography Through JazzCats
All the Things You Are: Accessing An Enriched Musicological Prosopography Through JazzCats
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你的一切：通过 JazzCats 获取丰富的音乐学前景
DOI：
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发表时间：
2017
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影响因子：
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通讯作者：
Alfie Abdul
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作者：
Terhi Nurmikko;Daniel Bangert;Alfie Abdul
JazzCats（Jazz Collection of Aggregated Triples）是一个原型项目，它使用链接开放数据（LOD）来支持音乐学，历史和人学分析。它通过两个过程增加了对在线发布数据的访问（和开放性）：首先，用户迄今无法获得的信息已被共享并纳入该项目，其次，以前锁定在非开放类型（如PDF）中的数据已以机器可读格式发布，增加了在更广泛的网络中的可共享性。数据集之间的连接只能通过人类用户单独参与每个现有项目来识别，现在已经变得明确，并且所产生的聚合数据可以从单个用户界面（UI）中查询。三个项目有助于JazzCats：LinkedJazz提供了一个通过各种关系连接音乐家的社交网络（Pattuelli，2016）;表演中独奏的细节（包括音高，基调和和弦变化）可从WJazzD获得（Pfleiderer等人，2016年）;和身体和灵魂（鲍恩，2013年）是一个超过200张唱片的唱片。这些补充数据包含录音和音乐家的实例级重叠。将这些资源结合在一起，就形成了一种新型的研究问题，只有通过使用一个数据集的标准来告知和磨练另一个数据集的结果，才有可能。
JazzCats (Jazz Collection of Aggregated Triples) is a prototype project which uses Linked Open Data (LOD) to support musicological, historical, and prosopographical analyses. It has increased access to (and the openness of) data published online through a twofold process: firstly, information hitherto unavailable to users has been shared and incorporated into the project, and secondly, data previously locked in non-Open types (e.g. PDF) has been published in a machine-readable format, increasing discoverability in the context of the wider Web. Connections between datasets that could only be identified through a human user engaging separately with each existing project have now been made explicit, and the resulting aggregated data is queryable from a single userinterface (UI). Three projects contribute to JazzCats: a social network connecting musicians through various types of relationships is provided by LinkedJazz (Pattuelli, 2016); details of solos within performances (including pitch, key, and chord changes) are available from WJazzD (Pfleiderer et al., 2016); and Body&Soul (Bowen, 2013) is a discography of over 200 recordings. These complementary data contain instance-level overlaps for recordings and musicians. Bringing these resources together has enabled a new type of research question, possible only through using criteria from one dataset to inform and hone results from another.