Düggelin, Wilhelm

Profilbild
E-Mail-Adresse
Geburtsdatum
Projekt
Organisationseinheiten
Berufsbeschreibung
Nachname
Düggelin
Vorname
Wilhelm
Name
Wilhelm Düggelin

Filter

2022 - 20232
Filter zurücksetzen

Einstellungen

Institut: Institut für Wirtschaftsinformatik × Thema: 330 - Wirtschaft ×

Suchergebnisse

Gerade angezeigt 1 - 2 von 2
  • Vorschaubild
    Publikation
    Innovating the digital product development toolchain with digital twins at Helbling Technik AG
    (SAGE, 2023) Bettega, Kateryna; Düggelin, Wilhelm; Ehrenthal, Joachim; Ulrich, Philipp [in: Journal of Information Technology Teaching Cases]
    This teaching case examines how engineering consultants Helbling Technik AG overcame challenges in implementing a digital twin approach to mechatronics product development, saving costs, and reducing time to market. It challenges students to understand digital twins in mechatronic system development and their implications for processes, use cases, and service models. This real-world example is relevant for students and educators interested in the challenges and opportunities of digital twin implementation.
    01A - Beitrag in wissenschaftlicher Zeitschrift
  • Vorschaubild
    Publikation
    Building a technology recommender system using web crawling and natural language processing technology
    (MDPI, 2022) Campos Macias-Hammel, Nathalie; Düggelin, Wilhelm; Ruf, Yesim; Hanne, Thomas [in: Algorithms]
    Finding, retrieving, and processing information on technology from the Internet can be a tedious task. This article investigates if technological concepts such as web crawling and natural language processing are suitable means for knowledge discovery from unstructured information and the development of a technology recommender system by developing a prototype of such a system. It also analyzes how well the resulting prototype performs in regard to effectivity and efficiency. The research strategy based on design science research consists of four stages: (1) Awareness generation; (2) suggestion of a solution considering the information retrieval process; (3) development of an artefact in the form of a Python computer program; and (4) evaluation of the prototype within the scope of a comparative experiment. The evaluation yields that the prototype is highly efficient in retrieving basic and rather random extractive text summaries from websites that include the desired search terms. However, the effectivity, measured by the quality of results is unsatisfactory due to the aforementioned random arrangement of extracted sentences within the resulting summaries. It is found that natural language processing and web crawling are indeed suitable technologies for such a program whilst the use of additional technology/concepts would add significant value for a potential user. Several areas for incremental improvement of the prototype are identified.
    01A - Beitrag in wissenschaftlicher Zeitschrift