Browsing Research Articles (Informatics) by UP Author "Hinkelmann, Knut"

Browsing Research Articles (Informatics) by UP Author "Hinkelmann, Knut"

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  • AAAI-MAKE 2022 : machine learning and knowledge engineering for hybrid intelligence 
    Martin, Andreas; Hinkelmann, Knut (CEUR Workshop Proceedings, 2022)
    The AAAI 2022 Spring Symposium on Machine Learning and Knowledge Engineering for Hybrid Intelligence (AAAI-MAKE 2022) brought together researchers and practitioners of the two fields to reflect on advances in combining ...
  • An agile and ontology-aided modeling environment 
    Laurenzi, Emanuele; Hinkelmann, Knut; Van der Merwe, Alta (Springer, 2018-10)
    Enterprise knowledge is currently subject to ever-changing, complex and domain-specific modeling requirements. Assimilating these requirements in modeling languages brings the benefits associated to both domain-specific ...
  • Decision support combining machine learning, knowledge representation and case-based reasoning 
    Mehli, Carlo; Hinkelmann, Knut; Jungling, Stephan (CEUR Workshop Proceedings, 2021)
    Knowledge and knowledge work are essential for the success of companies nowadays. Decisions are based on knowledge and better knowledge leads to more informed decisions. Therefore, the management of knowledge and support ...
  • A new paradigm for the continuous alignment of business and IT : combining enterprise architecture modelling and enterprise ontology 
    Hinkelmann, Knut; Karagiannis, Dimitris; Thoenssen, Barbara; Woitsch, Robert; Gerber, Aurona Jacoba; Van der Merwe, Alta (Elsevier, 2016-06)
    The paper deals with Next Generation Enterprise Information Systems in the context of Enterprise Engineering. The continuous alignment of business and IT in a rapidly changing environment is a grand challenge for today’s ...
  • An ontology-based and case-based reasoning supported workplace learning approach 
    Emmenegger, Sandro; Hinkelmann, Knut; Laurenzi, Emanuele (Springer, 2017-09)
    The support of workplace learning is increasingly relevant as the change in every form determines today’s working world in the industry and public administrations alike. Adapting quickly to a new job, a new task or a new ...
  • Semantically annotated learning paths 
    Unternahrer, Charline; Hinkelmann, Knut; Schlick, Sandra (CEUR-WS, 2023)
    This paper shows an application of semantic lifting in the education domain. We present a metamodel for graphical representation of learning paths. This supports lecturers in the design of courses and learners to navigate ...
  • Towards an agile and ontology-aided modeling environment for DSML adaptation 
    Laurenzi, Emanuele; Hinkelmann, Knut; Izzo, Stefano; Reimer, Ulrich; Van der Merwe, Alta (Springer, 2018)
    The advent of digitalization exposes enterprises to an ongoing transformation with the challenge to quickly capture relevant aspects of changes. This brings the demand to create or adapt domain-specific modeling languages ...