A publication venue authority file stores variants of the names of journals and conferences that publish scientific articles. It is useful in the construction of search tools and data disambiguation, and it is of special interest to agencies funding research and evaluating graduate programs, which use the quality of publication venues as a basis for evaluating researchers’ and research groups’ publications. However, keeping an updated authority file is not a trivial task. Different names are used to refer to the same publication venue, these venues sometimes change their name, new venues emerge regularly, and journal bibliometrics are updated frequently. This paper presents the publication venue authority file (PVAF), an environment for the disambiguation of scientific publication venues. It consists of an authority file and a set of tools for updating and querying its data. We describe and experimentally evaluate each of these tools. We also propose a search algorithm based on an associative classifier, which allows for incremental updates of its learning model. The results show that the PVAF has coverage greater than 86% for publication venues in several fields of knowledge, and its tools attain a good accuracy in the classification of publication venues from curricula vitae formatted in various citation styles.

发布场所授权文件存储了发表科学文章的期刊和会议的名称的变体。它在构建搜索工具和消除数据歧义方面很有用，并且对于资助研究和评估研究生项目的机构特别有用，这些机构使用出版场所的质量作为评估研究人员和研究小组出版物的基础。但是，保留更新的授权文件并非易事。不同的名称用于指代相同的出版地点，这些地点有时会更改名称，新的地点会定期出现，并且期刊文献计量经常更新。本文介绍了出版场所授权文件（PVAF），这是消除科学出版场所歧义的环境。它由一个授权文件和一组用于更新和查询其数据的工具组成。我们描述并通过实验评估了每种工具。我们还提出了一种基于关联分类器的搜索算法，该算法可对其学习模型进行增量更新。结果表明，PVAF在多个知识领域的出版场所中的覆盖率均超过86％，并且其工具在以各种引用方式格式化的履历中对出版场所进行分类的准确性很高。