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Vorträge und Posterpräsentationen (mit Tagungsband-Eintrag):

R. Mordinyi, E. Serral Asensio, D. Winkler, S. Biffl:
"Evaluating Software Architectures using Ontologies for Storing and Versioning of Engineering Data in Heterogeneous Systems Engineering Environments";
Vortrag: 19th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Barcelona, Spain; 16.09.2014 - 19.09.2014; in: "Proceedings of the 19th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)", IEEE, (2014), ISBN: 978-1-4799-4845-1.



Kurzfassung englisch:
Large systems engineering projects involve the
cooperation of various stakeholders from different engineering
disciplines. Individual stakeholders apply various tools and
related data storage approaches that (a) might hinder seamless
interoperability and (b) include limited capability to support
data versioning. Project-level concepts enable the mapping of
engineering data coming from different disciplines. However, it
remains open how to store data on project level that enable
flexible and efficient data access from different disciplines in
different environments and enable backtracking to previous
versions in case of defects and/or human errors. While semantic
data integration provides fundamental solutions for bridging
semantic gaps between common project-level concepts and the
local tool concepts used by each discipline, semantic storages
have been developed to query and reason over gathered data
rather than versioning frequent instance changes inherent to
such engineering projects in distributed and heterogeneous
environments. In this paper we evaluate three software
architectures using ontologies in different ways and compare
selected quality attributes, i.e., performance and scalability, in
the context of an industrial scenarios. Main results suggest that
architectures relying on a relational database for versioning
individuals still outperforms traditional ontology storages.

Schlagworte:
Ontolgoy, Semantic Integration, Versioning, Performance

Erstellt aus der Publikationsdatenbank der Technischen Universität Wien.