metis - Knowledge-based search and query methods for accessing information of semantic models (BIM) to support searching in early design stages.

信息技术的发展导致了建筑行业设计和规划流程的重组。今天的设计和规划系统越来越多地基于建筑信息建模方法。数据存储和归档在语义组织的构建模型中，作为知识库。建筑和技术知识被存储为这些模型的一个组成部分，但是管理存储的知识和通知草图和概念设计阶段的方法仍然缺乏。预先存在的存储和检索策略的帮助有限，因为它们基于关键字分类法，不能充分表示空间配置。该研究项目的目的是为基于语义模型（BIM）的早期设计阶段制定与规划相关的信息作为知识基础和参考来源的研究策略。目的是开发方法和原型实现，而不是使用基于文本的研究方法，使用图形输入隐喻，一方面可以识别正式结构，另一方面可以识别更松散，粗略的输入（功能或概念草图）。为了开发现代数字技术的潜力，该项目将人工智能方法（计算机科学）与设计研究（建筑）联系起来。

Developments in IT led to a restructuring of design and planning processes in the construction sector. Today's design and planning systems are increasingly based on Building Information Modeling methodologies. Data is stored and archived in semantically organized building models that serve as a knowledge base. Architectural and technical knowledge are stored as an integral part of such models, however methods for managing the stored knowledge and informing the sketching and conceptual design phase are still lacking. Pre-existing storage and retrieval strategies are of only limited help as they are based on keyword taxonomies and cannot adequately represent spatial configurations.The aim of the research project is to develop research strategies for planning-relevant information as a knowledge basis and reference source in the early design phases based on semantic models (BIM). The intention is to develop methods and prototypical implementations that instead of using text-based research methods employ graphical input metaphors and can recognize formal structures on the one hand as well as looser, sketchy inputs (functional or conceptual sketches) on the other. To exploit the potential of modern digital technologies, the project links artificial intelligence methods (computer science) with design research (architecture).