Suppr超能文献

Doc'UMVF:两款为学生和教师提供法语优质教学资源的搜索工具。

Doc'UMVF: two search tools to provide quality-controlled teaching resources in French to students and teachers.

作者信息

Cuggia M, Darmoni S J, Garcelon N, Soualmia L, Bourde A

机构信息

EA3888, UFR 140, University of Rennes, France.

出版信息

Int J Med Inform. 2007 May-Jun;76(5-6):357-62. doi: 10.1016/j.ijmedinf.2007.01.001. Epub 2007 Feb 23.

Abstract

The UMVF project is a federation of medical teaching resources covering 32 medical schools in France. Today, the indexing of these resources is carried out manually by the CISMeF team at the University Hospital of Rouen. This indexing is based on MeSH thesaurus. We use a subset of SCORM metadata standard. This choice was defined in collaboration with the French Medical Virtual University consortium (French acronym: UMVF). Currently, with the UMVF searching tool (called Doc'UMVF), medical students can reach more than 3300 resources useful in their curriculum. Doc'UMVF is developed in close collaboration between the medical informatics laboratories of Rennes and Rouen. In this paper we present two complementary searching tools based on different methods and which are integrated and used to improve both the relevance and the coverage rate of the answers. A specific searching module has been built to retrieve specific resources concerning the National Medical Exam ENC ("Examen National Classant") is also available. Nevertheless, due to lack of time, numerous resources are not yet indexed. Therefore we have decided to use also automatic indexing method (Nomindex). This approach will be improved by further research works, resulting from Rouen and Geneva teams. After having built a searching meta-motor, our objective is to develop a meta-tool intended to index the whole set of digital pedagogical resources produced by the UMVF framework. This manual re-indexing will be carried out only for the most important resources (national references), with a more or less fine granularity.

摘要

UMVF项目是一个涵盖法国32所医学院校医学教学资源的联盟。如今,这些资源的索引工作由鲁昂大学医院的CISMeF团队手动完成。该索引基于医学主题词表(MeSH)。我们使用SCORM元数据标准的一个子集。这一选择是与法国医学虚拟大学联盟(法语缩写:UMVF)合作确定的。目前,借助UMVF搜索工具(称为Doc'UMVF),医学生可以获取超过3300种对其课程有用的资源。Doc'UMVF是在雷恩和鲁昂的医学信息学实验室密切合作下开发的。在本文中,我们介绍了两种基于不同方法的互补搜索工具,它们被整合并用于提高答案的相关性和覆盖率。还构建了一个特定的搜索模块来检索与国家医学考试ENC(“全国分类考试”)相关的特定资源。然而,由于时间有限,许多资源尚未被索引。因此,我们决定也使用自动索引方法(Nomindex)。鲁昂和日内瓦团队的进一步研究工作将改进这种方法。在构建了一个搜索元引擎之后,我们的目标是开发一种元工具,用于索引由UMVF框架生成的整套数字教学资源。这种手动重新索引将仅针对最重要的资源(国家参考文献)进行,粒度或多或少会有所不同。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验