Digital Knowledge Store. Organizing Humanities Research Data

数字知识库。

• 批准号: 191420853
• 负责人: Professor Dr. Martin Grötschel, since 12/2015
• 金额: --
• 依托单位: Berlin-Brandenburgische Akademie der Wissenschaften
• 依托单位国家: 德国
• 项目类别: Research data and software (Scientific Library Services and Information Systems)
• 财政年份: 2011
• 资助国家: 德国
• 起止时间: 2010-12-31 至 2018-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/191420853?language=en
• 关键词: Digital; Knowledge; Store.; Organizing; Humanities

The project "Digital Knowledge Store" created a central access to all digital resources of the Berlin-Brandenburg Academy of Sciences and Humanities. The outcome is a flexible infrastructure for heterogeneous humanities research data which is well suited for long-term preservation and accessibility. It is a highly robust server application which combines the potential of information retrieval and semantic web technologies with a progressive user interface.The Digital Knowledge Store aims for a depth of analysis that doesn't stop at processing and evaluating metadata and a full-text index. From our point of view the content-focused analysis of the research data by machine processing tools is realizable as well as desirable. So the Digital Knowledge Store is not only prepared for usage but is also implemented in a first version. The abil-ity not only to access research data, but also to intellectually analyze it with regard to implicit knowledge and research intention is the crucial point in the follow-up application for the Digital Knowledge StoreAs far as we know there is neither an equivalent of intellectual coverage of research data in the analog sphere of libraries and archives nor one in the digital sphere of archiving and data centers. Combining the multilingual linguistic annotation, analysis of internal markup of persons, places and events, and the processing of descriptive information on projects and context was a first step in that direction. It is an important and still open task to identify, implement and visualize these steps.So far we have gained important experience which will help to build an extended model of the Digital Knowledge Store. This will result in a product which can be both used freely by other institutions and be installed and run on their servers. Not only the letters of intent but also the current discussions in the area of research data infrastructures show the high demand of such a development.In the next step of the project we will focus on quality assurance of the data already stored in the index and databases. Also the built-in workflows for the current research in the academy will be optimized successively, especially for the semantic interconnections of the research data. They will be applied even more into the daily routine of researching, analyzing and usage of data and can be transferred to other humanities research institutions.

“数字知识库”项目创建了对柏林-勃兰登堡科学与人文学院所有数字资源的中央访问。其结果是为异构人文研究数据提供了一个灵活的基础设施，非常适合长期保存和可访问。它是一个高度强大的服务器应用程序，将信息检索和语义网络技术的潜力与渐进式用户界面相结合。数字知识存储的目标是进行深度分析，而不仅仅是处理和评估元数据和全文索引。从我们的角度来看，通过机器处理工具对研究数据进行以内容为中心的分析是可以实现的，也是可取的。因此，数字知识库不仅已做好使用准备，而且已在第一个版本中实施。不仅能够获取研究数据，而且能够对其中的隐性知识和研究意图进行智力分析，是数字知识库后续应用的关键点。图书馆和档案馆的模拟领域以及归档和数据中心的数字领域的研究数据的智力覆盖。结合多语言语言注释、人物、地点和事件的内部标记分析以及项目和上下文的描述性信息的处理是朝这个方向迈出的第一步。识别、实施和可视化这些步骤是一项重要且仍然悬而未决的任务。到目前为止，我们已经获得了重要的经验，这将有助于构建数字知识库的扩展模型。这将导致产品既可以被其他机构免费使用，也可以在其服务器上安装和运行。不仅是意向书，而且当前在研究数据基础设施领域的讨论都表明了这种发展的高需求。在项目的下一步中，我们将重点关注已存储在索引和数据库中的数据的质量保证。此外，学院当前研究的内置工作流程也将陆续优化，特别是研究数据的语义互连。它们将更多地应用于数据的研究、分析和使用的日常工作中，并可以转移到其他人文研究机构。