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免费和个人获取高质量的科学信息。开放访问运动试图发布越来越多的科学结果，导致在越来越多的期刊中很难管理各种可自由访问的文章。与古典图书馆和出版社相反，开放访问期刊的主要缺点是缺失的商业模式，这反过来不允许收入用于语义索引和手动策划的有价值的科学结果的元数据。因此，很难实现真正的个性化访问。可以在医学领域看到带有GoPubMed等门户网站的第一步，在那里手动策划的网格分类法为索引文档提供了高质量的工具。不幸的是，大多数科学领域都缺乏如此强大的索引工具，因此自动索引仍然非常困难。该项目旨在开发和实施方法，以允许开放访问信息提供商，尤其是在化学领域，可以自动以受控的质量为其集合索引。该项目的第二部分将使用这些元数据来构建模块化个性化检索门户。因此，总体目的是为开放访问期刊的创新和服务的框架奠定基础，该框架允许一个个性化和质量控制的检索过程，反映了用户的个人知识空间。

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

What does Twitter Measure?: Influence of Diverse User Groups in Altmetrics

Twitter 衡量什么？：Altmetrics 中不同用户群体的影响力