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Service-oriented Metadata Annotations and Retrieval for Open Access Journals

开放获取期刊的面向服务的元数据注释和检索

基本信息

批准号：
236052622
负责人：
Professor Dr. Wolf-Tilo Balke
金额：
--
依托单位：
Institut für Informationssysteme
依托单位国家：
德国
项目类别：
Research Grants
财政年份：
2013
资助国家：
德国
起止时间：
2012-12-31 至 2017-12-31
项目状态：
已结题

来源：
https://gepris.dfg.de/gepris/projekt/236052622?language=en
关键词：
Service oriented Metadata Annotations Retrieval

项目摘要

One of the driving factors for today's knowledge society is the free and individual access to high quality scientific information. The open access movement tries to publish an increasing number of scientific results, resulting however in a hard to manage variety of freely accessible articles in a growing number of journals. In contrast to classical libraries and publishing houses, a major drawback for open access journals is the missing business model, which in turn does not allow for revenue to be used for semantic indexing and manually curated metadata annotation of valuable scientific results. Thus, a truly personalized access is hard to realize. First steps into this direction can be seen in the area of medicine with portals like GoPubMed, where the manually curated MeSH taxonomy provides a high quality tool for indexing documents. Unfortunately most scientific areas are lacking such a powerful tool for indexing and thus automatic indexing is still extremely difficult. This project aims at the development and implementation of methods that allow open access information providers particularly in the area of chemistry to automatically index their collections with controlled quality. The second part of the project will use these metadata for building modular personalized retrieval portals. Thus, the overall aim is to lay the foundations for an innovative and service-oriented framework for open access journals that allow for a personalized and quality controlled retrieval process reflecting the user's individual knowledge space.

当今知识社会的驱动因素之一是个人自由地获取高质量的科学信息。开放获取运动试图发表越来越多的科学成果，但导致越来越多的期刊难以管理各种免费获取的文章。与传统图书馆和出版社相比，开放获取期刊的一个主要缺点是缺乏商业模式，这反过来又不允许收入用于对有价值的科学成果进行语义索引和手动管理的元数据注释。因此，真正个性化的访问很难实现。迈向这一方向的第一步可以在医学领域看到，像GoPubMed这样的门户网站，手动管理的网状分类为文档索引提供了一个高质量的工具。不幸的是，大多数科学领域缺乏如此强大的索引工具，因此自动索引仍然极其困难。该项目旨在开发和实施方法，使开放获取信息提供者，特别是化学领域的信息提供者，能够以受控的质量自动编制其收藏的索引。该项目的第二部分将使用这些元数据来构建模块化的个性化检索门户。因此，总体目标是为开放获取期刊的创新和面向服务的框架奠定基础，以实现反映用户个人知识空间的个性化和有质量控制的检索过程。

项目成果

期刊论文数量（5）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Can Plausibility Help to Support High Quality Content in Digital Libraries?

DOI：
10.1007/978-3-319-67008-9_14
发表时间：
2017-09
期刊：
Proceedings of the 2019 International Conference on Artificial Intelligence and Computer Science
影响因子：
0
作者：
J. M. Pinto;Wolf-Tilo Balke
通讯作者：
J. M. Pinto;Wolf-Tilo Balke

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