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A knowledge integration framework for robotics

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Author

Summary, in English

This paper describes a knowledge integration framework for robotics, whose goal is to represent, store, adapt, and distribute knowledge across engineering platforms. The architecture abstracts the components as data sources, where data are available in the AutomationML data exchange format. AutomationML is an on-going standard initiative that aims at unifying data representation and APIs used by engineering tools. A triplification procedure converts native formats used by data sources into RDF triples and then exposes them via a SPARQL endpoint. The triplification step has been implemented for the CAEX top level and logic data parts of AutomationML, where the conversion uses XSLT rules.

Publishing year

2010

Language

English

Publication/Series

ISR/ROBOTIK 2010 : Proceedings for the joint conference of ISR 2010 (41st International Symposium on Robotics) and ROBOTIK 2010 (6th German Conference on Robotics)

Document type

Conference paper

Topic

  • Computer Science

Conference name

ISR/Robotik

Conference date

2010-06-07 - 2010-06-09

Conference place

Munich, Germany

Status

Published

Research group

  • RSS

ISBN/ISSN/Other

  • ISBN: 978-3-8007-3273-9