Open Access Article

Title: Systematic design and implementation of a semantic assistance system for aero-engine design and manufacturing

Authors: Sonika Gogineni; Jörg Brünnhäußer; Kai Lindow; Erik Paul Konietzko; Rainer Stark; Jonas Nickel; Heiko Witte

Addresses: Department of Virtual Product Creation, Fraunhofer Institute for Production Systems and Design Technology, Berlin, Germany ' Department of Virtual Product Creation, Fraunhofer Institute for Production Systems and Design Technology, Berlin, Germany ' Department of Virtual Product Creation, Fraunhofer Institute for Production Systems and Design Technology, Berlin, Germany ' Department of Virtual Product Creation, Fraunhofer Institute for Production Systems and Design Technology, Berlin, Germany ' Chair Industrial Information Technology, Technische Universität Berlin, Berlin, Germany ' Rolls-Royce Deutschland, Eschenweg 11, 15827 Blankenfelde-Mahlow, Dahlewitz, Brandenburg, Germany ' Rolls-Royce Deutschland, Eschenweg 11, 15827 Blankenfelde-Mahlow, Dahlewitz, Brandenburg, Germany

Abstract: Data in organisations is often spread across various Information and Communication Technology (ICT) systems, leading to redundancies, lack of overview and time wasted searching for information while carrying out daily activities. This paper focuses on addressing these problems for an aerospace company by using semantic technologies to design and develop an assistance system using existing infrastructure. In the aero-engine industry, complex data systems for design, configuration, manufacturing and service data are common. Additionally, unstructured data and information from numerous sources become available during the product's life cycle. In this paper, a systematic approach is followed to design a system, which integrates data silos by using a common ontology. This paper highlights the problems being addressed, the approach selected to develop the system, along with the implementation of two use cases to support user activities in an aerospace company.

Keywords: knowledge management; assistance system; semantic integration; machine learning; ontologies; industrial implementation; manufacturing; product data management; heterogeneous data; interoperability.

DOI: 10.1504/IJMSO.2021.120281

International Journal of Metadata, Semantics and Ontologies, 2021 Vol.15 No.2, pp.87 - 103

Received: 12 Sep 2020
Accepted: 27 Apr 2021

Published online: 07 Jan 2022 *