Automatic Harvesting, Indexing and Provision of Open Access Figures from the fields of Engineering and Technology Using the Infrastructure of Wikimedia Commons and Wikidata

使用维基共享资源和维基数据基础设施自动采集、索引和提供工程和技术领域的开放获取数据

• 批准号: 315976924
• 负责人: Professorin Dr. Ina Blümel, since 7/2018
• 金额: --
• 依托单位: Technische Informationsbibliothek (TIB)
• 依托单位国家: 德国
• 项目类别: Science Communication, Research Data, eResearch (Scientific Library Services and Information Systems)
• 财政年份: 2016
• 资助国家: 德国
• 起止时间: 2015-12-31 至 2018-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/315976924?language=en
• 关键词: Automatic; Harvesting; Indexing; Provision; Open

Multimedial objects, especially images and figures, are essential for the visualization and interpretation of research findings. The distribution and reuse of these scientific objects is significantly improved under open access conditions, for instance in Wikipedia articles, in research literature, as well as in education and knowledge dissemination, where licensing of images often represents a serious barrier.Whereas scientific publications are retrievable through library portals or other online search services due to standardized indices there is no targeted retrieval and access to the accompanying images and figures yet. Consequently there is a great demand to develop standardized indexing methods for these multimedial open access objects in order to improve the accessibilty to this material. To address the objective it is necessary to develop a process for automatic harvesting and indexing of multimedial open access objects. Wikimedia Commons, operated by the Wikimedia Foundation, is one of the most important open access media collections and a platform and service for the harvesting and distribution thereof. Wikimedia Commons collects freely licensed objects, mainly images and figures, including their metadata and provides them to Wikipedia and all other web users.It is the aim of this project to develop a process for the automatic harvesting and indexing of articles including their images and figures derived from quality controlled open access journals in the fields of engineering and technology, using the infrastructure of Wikimedia Commons and Wikidata. To reach this goal it is planned to harvest scientific publications and subsequently extract and enrich the metadata of the accompanying images and figures in order to generate a standardized index.The main outcome of the project will be the provision of an information service which improves the retrieval of and the access to freely licenced images and figures from the fields of engineering and technology.

多媒体对象，特别是图像和数字，是研究成果的可视化和解释必不可少的。在开放获取条件下，这些科学对象的分发和再利用得到了显著改善，例如在维基百科文章中，在研究文献中，以及在教育和知识传播中，由于标准化的索引，科学出版物可以通过图书馆门户网站或其他在线搜索服务检索，伴随着图像和数字。因此，有一个很大的需求，为这些多媒体开放存取对象开发标准化的索引方法，以提高这一材料的可访问性。为了实现这一目标，有必要开发一个多媒体开放存取对象的自动收获和索引过程。维基共享资源由维基媒体基金会运营，是最重要的开放获取媒体收藏之一，也是收集和分发这些媒体的平台和服务。维基共享资源收集自由许可的对象，主要是图像和数字，包括它们的元数据，并将其提供给维基百科和所有其他网络用户。该项目的目的是开发一个自动收集和索引文章的过程，包括来自工程和技术领域的质量控制开放获取期刊的图像和数字，使用维基共享资源和维基数据的基础设施。为实现这一目标，计划收集科学出版物，随后提取和丰富所附图像和数字的元数据，以生成标准化索引，该项目的主要成果将是提供信息服务，改善工程和技术领域免费许可的图像和数字的检索和访问。