Talks and Poster Presentations (with Proceedings-Entry):

T Moser, S. Biffl, W. Sunindyo, D. Winkler:
"Integrating Production Automation Expert Knowledge Across Engineering Stakeholder Domains";
Talk: 4th International Conference on Complex, Intelligent and Software Intensive Systems (CISIS 2010), Krakow, Poland; 2010-02-15 - 2010-02-18; in: "Proceedings of the 4th International Conference on Complex, Intelligent and Software Intensive Systems (CISIS 2010)", L. Barolli, F. Xhafa, S. Vitabile, H. Hsu (ed.); IEEE Computer Society, (2010), ISBN: 978-0-7695-3967-6; 352 - 359.

English abstract:
The engineering of complex production automation
systems involves experts from several backgrounds, such as
mechanical, electrical, and software engineering. The
production automation expert knowledge is embedded in their
tools and data models, which are, unfortunately, insufficiently
integrated across the expert disciplines, due to semantically
heterogeneous data structures and terminologies. Traditional
integration approaches to data integration using a common
repository are limited as they require an agreement on a
common data schema by all project stakeholders. In this paper
we introduce the Engineering Knowledge Base (EKB), a
semantic-web-based framework, which supports the efficient
integration of information originating from different expert
domains without a complete common data schema. We
evaluate the proposed approach with data from real-world use
cases from the production automation domain on data
exchange between tools and model checking across tools.
Major results are that the EKB framework supports stronger
semantic mapping mechanisms than a common repository and
is more efficient if data definitions evolve frequently.

Production Automation, Engineering Knowledge Integration, Ontology Support

"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)

Created from the Publication Database of the Vienna University of Technology.