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Researcher Name Resolver: identifier management system for Japanese researchers

机译:研究者姓名解析器:面向日本研究者的标识符管理系统

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We built a researcher identifier management system called the Researcher Name Resolver (RNR) to assist with the name disambiguation of authors in digital libraries on the Web. RNR, which is designed to cover all researchers in Japan, is a Web-oriented service that can be openly connected with external scholastic systems. We expect it to be widely used for enriched scholarly communications. In this paper, we first outline the conceptual framework of RNR, which is jointly focused on researcher identifier management and Web resource linking. We based our researcher identifier scheme on the reuse of multiple sets of existing researcher identifiers belonging to the Japanese grant database KAKEN and the researcher directory ReaD & Researchmap. Researcher identifiers are associated by direct links to related resources on the Web through a combination of methods, including descriptive mapping, focused crawling on campus directories and researcher identification by matching names and affiliations. Second, we discuss our implementation of RNR based on this framework. Researcher identifiers construct uniform resource identifiers to show Web pages that describe researcher profiles and provide links to related external resources. We have adapted Web-friendly technologies-e.g., OpenSearch and the RDFs of Linked Data technology-in this implementation to provide Web-friendly services. Third, we discuss our application of RNR to a name disambiguation task for the search portal of the Japanese Institutional Repositories Online to determine how well the researcher identifier management system cooperates with external systems. Finally, we discuss lessons learned from the entire project as well as the future development directions we intend to take.
机译:我们构建了一个研究人员标识符管理系统,称为“研究人员名称解析器”(RNR),以帮助消除Web数字图书馆中作者的名称歧义。 RNR旨在覆盖日本所有研究人员,是一种面向Web的服务,可以与外部学术系统开放连接。我们希望它将广泛用于丰富的学术交流中。在本文中,我们首先概述了RNR的概念框架,该框架共同致力于研究人员标识符管理和Web资源链接。我们基于重复使用属于日本资助数据库KAKEN和研究者目录ReaD&Researchmap的多组现有研究者标识符来建立研究者标识符方案。研究人员标识符通过直接链接到Web上相关资源的方法进行组合,这些方法包括描述性映射,集中爬网校园目录以及通过匹配名称和从属关系来确定研究人员身份的方法。第二,我们讨论基于此框架的RNR实现。研究人员标识符构造统一的资源标识符,以显示描述研究人员资料并提供到相关外部资源链接的网页。我们在此实现中采用了Web友好技术,例如OpenSearch和Linked Data技术的RDF,以提供Web友好服务。第三,我们讨论了RNR在日本机构知识库在线搜索门户的名称消歧任务中的应用,以确定研究人员标识符管理系统与外部系统的协作程度。最后,我们讨论从整个项目中吸取的教训以及我们打算采取的未来发展方向。

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