llatesminer:一个多语言DSL,用于从llates平台提取信息

A. D. Alves, H. Yanasse, N. Y. Soma
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引用次数: 11

摘要

拿铁简历系统是由CNPq维护的课程信息系统,是拿铁平台的核心。这个系统无疑是巴西研究人员信息的主要来源。本文描述了“LattesMiner”,一种用于从拿铁课程中自动提取信息的多语言领域特定语言。它由一组用Java编写的类组成,这些类允许开发人员使用高级抽象和表达能力实现他们自己的应用程序。llatesminer可以根据其名称或给定的(ID)号码从任何个人或研究人员组中提取属于拿铁平台的数据。提取的数据可以进行分析和使用,例如,用于确定学术社会网络、区域能力、不同研究领域的群体概况等。我们通过一个案例研究来说明它的用法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
LattesMiner: a multilingual DSL for information extraction from lattes platform
The Lattes CV system, a curricular information system maintained by CNPq, is the core of the Lattes Platform. This system is undoubtedly the major source of information on Brazilian researchers. This paper describes "LattesMiner", a multilingual domain-specific language for automatic information extraction from Lattes curricula. It is composed by a set of classes written in Java that allows developers to implement their own applications with a high-level abstraction and expression power. LattesMiner can extract data belonging to the Lattes Platform from any individual researcher or group of researchers by its name or given (ID) number. The data extracted can be analyzed and used, for instance, to identify academic social networks, regional competences, profile of groups in diferent areas of research etc. We illustrate its use with a case study.
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