Former Members

Daniel Bergenrodt

Former Research Aide

Daniel Bergenrodt, M.Sc.

Publications:

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  • Zelewski, S.; Kowalski, M.; Bergenrodt, D.: Management von Erfahrungswissen aus internationalen Logistik - Projekten mithilfe von Case-based Reasoning. In: Zelewski, S.; Akca, N.; Kowalski, M. (Ed.): Organisatorische Innovationen mit Good Governance und Semantic Knowledge Management in Logistik-Netzwerken – Wissenschaftliche Grundlagen und Praxisanwendungen. Berlin 2015, p. 229-267. Citation
  • Zelewski, S.; Kowalski, M.; Bergenrodt, D.: Intelligente Wissenswiederverwendung in internationalen Logistik-Projekten. In: Ege, B.; Humm, B.; Reibold, A. (Ed.): Corporate Semantic Web – Wie semantische Anwendungen in Unternehmen Nutzen stiften. Berlin - Heidelberg 2015, p. 289-305. Citation
  • Zelewski, S.; Kowalski, M.; Bergenrodt, D.: Innovatives Case-based Reasoning in Wissenswiederverwendungsprozessen des betrieblichen Projektmanagements. In: Mieke, C. (Ed.): Prozessinnovation und Prozessmanagement – Zwei Managementfelder zur Stärkung der Prozessleistung in Unternehmen. Berlin 2013, p. 75-108. Citation
  • Zelewski, S.; Kowalski, M.; Bergenrodt, D.: "Intelligent" Knowledge Reuse for Complex Logistics Projects: An Application of Ontology-Driven and Case-Based Reasoning. In: Journal of Control Science and Engineering, Vol 1 (2013) No 1, p. 23-37. Citation

    The application potential of ontology-driven and CBR (case-based reasoning) is demonstrated for the business knowledge management particularly with respect to the reuse of knowledge of experience concerning logistics projects. The relevance of poorly structured, qualitative and especially in natural language represented knowledge is outlined for purposes of knowledge management, particularly with respect to the management of project-related knowledge. It is elucidated how this kind of knowledge can be preprocessed and reused with the support of a computer. At first, the technique of CBR is outlined in its basic fundamentals. Thereupon, it will be shown how the technique of ontologies can be used for the computer-supported processing of knowledge represented in natural language and integrated in computer-assisted CBR systems. A simple application example illustrates how ontology-driven and CBR can be used in practice within the reuse of project-related knowledge. Finally, it will be addressed which further need for research exists in principle.

  • Kowalski, M.; Klüpfel, H.; Zelewski, S.; Bergenrodt, D.: Knowledge Management of International Logistics Projects - A Computer-supported Approach Using Ontologies and Case-based Reasoning. In: Blecker, T.; Kersten, W.; Ringle, C. M. (Ed.): Pioneering Solutions in Supply Chain Performance Management – Concepts, Theories and Applications. Lohmar - Köln 2013, p. 253-271. Citation
  • Zelewski, S.; Kowalski, M.; Bergenrodt, D.: Innovatives Case-based Reasoning in Wissenswiederverwendungsprozessendes betrieblichen Projektmanagements. In: Mieke, C. (Ed.): Prozessinnovation und Prozessmanagement. Band 3, Logos, Berlin 2013, p. 75-108. Citation
  • Bergenrodt, D.; Jene, S.; Zelewski, S.: Implementierung des τ-Werts, Arbeitsbericht Nr. 39, Institut für Produktion und Industrielles Informationsmanagement, Universität Duisburg-Essen, Campus Essen, Essen 2013. PDFCitation
  • Zelewski, S.; Kowalski, M.; Bergenrodt, D.; Klüpfel, H.: Reuse of Knowledge in Logistics Projects Using Case-based Reasoning. In: Lehner, F.; Amende, N.; Fteimi, N. (Ed.): Konferenzbeiträge der 7. Konferenz Professionelles Wissensmanagement. 14.-15.03.2013 in Passau. Berlin 2013, p. 74-95. Citation
  • Kowalski, M.; Klüpfel, H.; Zelewski, S.; Bergenrodt, D.; Saur, A.: Integration of Case-Based and Ontology-Based Reasoning for the Intelligent Reuse of Project-Related Knowledge. In: Clausen, U.; ten Hompel, M.; Klumpp, M. (Ed.): Efficiency and Logistics. Lecture Notes in Logistics, Vol. 1. Berlin Heidelberg 2013, p. 289-299. Citation
  • Kowalski, M.; Zelewski, S.; Bergenrodt, D.: Applying of an Ontology-driven Case-based Reasoning System in Logistics. In: International Journal of Computers & Technology, Vol 3 (2012) No 2, p. 347-350. Citation
  • Kowalski, M.; Zelewski, S.; Bergenrodt, D.; Klüpfel, H.: Application of new Techniques of Artificial Intelligence in Logistics: An Ontology-driven Case-based Reasoning Approach. In: Klumpp, M. (Hrsg.): Modelling and Simulation 2012, The 2012 European Simulation and Modelling Conference 2012, ESM’2012, 22.-24.10.2012 in Essen. O.O. 2012, p. 323-328. Citation
  • Kowalski, M.; Klüpfel, H.; Zelewski, S.; Bergenrodt, D.; Becker, A.: Implementation of an Ontology-driven CBR-System for the Intelligent Reuse Project-Related Knowledge. In: Perner, P. (Ed.): Advances in Data Mining, 12th Industrial Conference on Data Mining ICDM 2012, 16.-20.07.2012 in Berlin, Poster and Industry Proceedings. Fockendorf 2012, p. 80-88. Citation