Engineering Knowledge and Data

Understanding how to represent and structure knowledge and data in engineering design is critical to improve the design of new products through understanding through life knowledge, supporting decision making for complex products and systems. Here an understanding of engineering design is combined with the appropriate research tools for the research context, for example, cognitive computing tools, natural language processing.

  • Approaches to represent knowledge for the relevant user (service engineering, design engineers)
  • Support decision making and decision rationale,
  • Modeling of complex product, users, processes and function, ontology.
Example output include: tools to automate and index reports, knowledge representation of service knowledge to improve the next generation of designs, ontologies containing functions, product and process

Example research project