@article{KraftNagl2007,
  author    = {Kraft, Bodo and Nagl, Manfred},
  title     = {Visual Knowledge Specification for Conceptual Design: Definition and Tool Support},
  year      = {2007},
  abstract  = {In: Advanced Engineering Informatics. Vol 21, Issue 1, 2007, Pages 67-83 http://dx.doi.org/10.1016/j.aei.2006.10.001 eds. J.C. Kunz, I.F.C. Smith and T. Tomiyama, Elsevier, Seite 1-22 Current CAD tools are not able to support the conceptual design phase, and none of them provides a consistency analysis for sketches produced by architects. This phase is fundamental and crucial for the whole design and construction process of a building. To give architects a better support, we developed a CAD tool for conceptual design and a knowledge specification tool. The knowledge is specific to one class of buildings and it can be reused. Based on a dynamic and domain-specific knowledge ontology, different types of design rules formalize this knowledge in a graph-based form. An expressive visual language provides a user-friendly, human readable representation. Finally, a consistency analysis tool enables conceptual designs to be checked against this formal conceptual knowledge. In this article, we concentrate on the knowledge specification part. For that, we introduce the concepts and usage of a novel visual language and describe its semantics. To demonstrate the usability of our approach, two graph-based visual tools for knowledge specification and conceptual design are explained.},
  subject      = {CAD},
  language  = {en}
}
@article{Kraft2003,
  author    = {Kraft, Bodo},
  title     = {Conceptual design mit ArchiCAD 8 : Forschungsprojekt an der RWTH Aachen},
  year      = {2003},
  abstract  = {Projektbericht in GraphisoftNews - Architektur und Bauen in einer vernetzten Welt 3/2003 4 Seiten},
  subject      = {CAD},
  language  = {de}
}
@article{SildatkeKarwanniKraftetal.2023,
  author    = {Sildatke, Michael and Karwanni, Hendrik and Kraft, Bodo and Z{\"u}ndorf, Albert},
  title     = {A distributed microservice architecture pattern for the automated generation of information extraction pipelines},
  series = {SN Computer Science},
  journal   = {SN Computer Science},
  number    = {4, Article number: 833},
  publisher = {Springer Singapore},
  address   = {Singapore},
  issn      = {2661-8907},
  doi       = {10.1007/s42979-023-02256-4},
  pages     = {19 Seiten},
  year      = {2023},
  abstract  = {Companies often build their businesses based on product information and therefore try to automate the process of information extraction (IE). Since the information source is usually heterogeneous and non-standardized, classic extract, transform, load techniques reach their limits. Hence, companies must implement the newest findings from research to tackle the challenges of process automation. They require a flexible and robust system that is extendable and ensures the optimal processing of the different document types. This paper provides a distributed microservice architecture pattern that enables the automated generation of IE pipelines. Since their optimal design is individual for each input document, the system ensures the ad-hoc generation of pipelines depending on specific document characteristics at runtime. Furthermore, it introduces the automated quality determination of each available pipeline and controls the integration of new microservices based on their impact on the business value. The introduced system enables fast prototyping of the newest approaches from research and supports companies in automating their IE processes. Based on the automated quality determination, it ensures that the generated pipelines always meet defined business requirements when they come into productive use.},
  language  = {en}
}