Aby gets digital: ARAby -An adaptive Retrieval- and Analysistool for the support of image-oriented scientific research

Aby项目实现了数字化：Araby。用于支持面向图像的科学研究的自适应检索和分析工具描述了为人文科学的数字化研究过程开发一个软件工具的建议。它旨在提高数据库中图像检索的效率，以加强对科学工作中图像数据的分析，以促进新理论的形成。该工具倾向于提高国家和国际科学信息系统的绩效。最初的想法是基于Aby Warburgs的方法，即同时比较和分析不同背景下的图片。对于他所谓的Mnemoyne Bilderatlas，他以一种短暂的方式将图片安排在覆盖着帆布的木板上，并不断地重新安排和编辑他的选集。由此产生的图像构图既是一种工作方法，也是一种结果发布，它们允许提出创新的新研究问题。电子研究工具Araby打算将Warburgs程序推进到数字时代，甚至利用当前的信息技术来扩展它。基于相似性标准的数字图像分析应由Araby以自动化方式进行，并辅之以附加功能。实现ARARBY的关键是模式识别、聚类和(用户)自适应三个功能。一个基本功能是对预定义的概念进行模式识别，并在图像的元数据中对结果信息进行注释。搜索查询可以按关键字(文本)和基于内容(图像)进行。由Araby处理的查询的结果然后以特定的排名形式显示，其中集成了用户分析特征。作为一个电子研究工具，Araby应该使人文科学的科学家能够通过使用他们在Web上的公共浏览器来搜索巨大的(图像)数据库。考虑到标准化的接口功能，以获得到其他数据库的可转移性。Araby应该通过使用可理解的、有意义的和透明的方式显示结果，使科学家能够更容易地进行图像检索。

The project Aby gets digital: ARAby. An adaptive Retrieval- and Analysistool for the support of image-oriented scientific research describes the proposal of the development of an Software-Tool for the digitized research process in the humanities. It aims to improve the efficiency of Image-Retrieval in databases to enhance the analysis of image data within scientific work in order to facilitate new theory formation. The tool tends to increase the performance of national and international scientific information systems. The original idea is based on Aby Warburgs method of comparing and analyzing pictures out of different contexts simultaneously together. For his so called Mnemoyne Bilderatlas he arranged pictures on wooden panels covered with canvas in an ephemeral way and constantly re-arranged an edited his selection. The resulting compositions of images were as well a working method as a publication of results and they allowed innovative new research questions. The e-Research-Tool ARAby intends to carry Warburgs procedure forward to the digital age and even to expand it with current information technology. The analysis of digital images based on the criterion of similarity should be undertaken by ARAby in an automated way, complemented by additional functions. Essential for the implementation of ARAby are the three functionalities pattern recognition, clustering and (user)adaption. One fundamental function is the pattern recognition of pre-defined concepts and the annotation of the resulting information within the metadata of the images. Search queries can be made by keywords (text) as well as content based (Image). The results of queries processed by ARAby are then displayed in a particular form of ranking, in which the user analysis feature is integrated. As an e-Research-Tool, ARAby should enable scientist in the humanities to search huge (image) databases by using their common browser on the web. Standardized interface functions are taken into consideration to obtain transferability to other databases. ARAby should enable easier image retrieval for scientist by using comprehensible, meaningful and transparent ways of displaying the results.