Haas, Klemens; Kappe, Simon; Siebert, Martin; Wicaksono, Hendro; Ovtcharova, Jivka Digital Assistance Based on an Ontology Driven Model of the IT-Systems Along the Product Lifecycle Book Chapter Debruyne, Christophe; Panetto, Hervé; Weichhart, Georg; Bollen, Peter; Ciuciu, Ioana; Vidal, Maria-Esther; Meersman, Robert (Ed.): Springer, 2018, ISBN: 978-3-319-73805-5. Abstract | Links | BibTeX | Tags: digitization, Ontology, product lifecycle management @inbook{Haas2018,
title = {Digital Assistance Based on an Ontology Driven Model of the IT-Systems Along the Product Lifecycle},
author = {Klemens Haas and Simon Kappe and Martin Siebert and Hendro Wicaksono and Jivka Ovtcharova},
editor = {Christophe Debruyne and Hervé Panetto and Georg Weichhart and Peter Bollen and Ioana Ciuciu and Maria-Esther Vidal and Robert Meersman},
url = {https://www.springer.com/us/book/9783319738048},
doi = {10.1007/978-3-319-73805-5},
isbn = {978-3-319-73805-5},
year = {2018},
date = {2018-03-04},
publisher = {Springer},
abstract = {The market of Product Lifecycle Management (PLM) applications has changed into a complex landscape of heterogeneous systems in recent years. Consequently, it has become increasingly challenging for enterprises to identify a PLM application that meets their requirements and that can be successfully integrated into their existing IT systems. The approach presented in this paper aims at developing a decision supporting model of the IT system landscape that provides different analysis tools based on existing IT systems. The model which is expressed by an ontology is intended to represent data flows between the different IT applications in order to provide relevant information through requests and rules in further proceedings.},
keywords = {digitization, Ontology, product lifecycle management},
pubstate = {published},
tppubtype = {inbook}
}
The market of Product Lifecycle Management (PLM) applications has changed into a complex landscape of heterogeneous systems in recent years. Consequently, it has become increasingly challenging for enterprises to identify a PLM application that meets their requirements and that can be successfully integrated into their existing IT systems. The approach presented in this paper aims at developing a decision supporting model of the IT system landscape that provides different analysis tools based on existing IT systems. The model which is expressed by an ontology is intended to represent data flows between the different IT applications in order to provide relevant information through requests and rules in further proceedings. |