A knowledge integration framework for robotics

Jacob Persson; Axel Gallois; Anders Björkelund; Love Hafdell; Mathias Haage; Jacek Malec; Klas Nilsson; Pierre Nugues

A knowledge integration framework for robotics

Jacob Persson, Axel Gallois, Anders Björkelund, Love Hafdell, Mathias Haage, Jacek Malec, Klas Nilsson, Pierre Nugues

Forskningsoutput: Kapitel i bok/rapport/Conference proceeding › Konferenspaper i proceeding › Peer review

Sammanfattning

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.

Originalspråk	engelska
Titel på värdpublikation	ISR/ROBOTIK 2010 : Proceedings for the joint conference of ISR 2010 (41st International Symposium on Robotics) and ROBOTIK 2010 (6th German Conference on Robotics)
Antal sidor	8
Status	Published - 2010
Evenemang	ISR/Robotik - Munich, Tyskland Varaktighet: 2010 juni 7 → 2010 juni 9

Konferens

Konferens	ISR/Robotik
Land/Territorium	Tyskland
Ort	Munich
Period	2010/06/07 → 2010/06/09

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@inproceedings{39de345933a548df9dcc477b16a419a0,

title = "A knowledge integration framework for robotics",

abstract = "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.",

author = "Jacob Persson and Axel Gallois and Anders Bj{\"o}rkelund and Love Hafdell and Mathias Haage and Jacek Malec and Klas Nilsson and Pierre Nugues",

year = "2010",

language = "English",

isbn = "978-3-8007-3273-9",

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

note = "ISR/Robotik ; Conference date: 07-06-2010 Through 09-06-2010",

}

A knowledge integration framework for robotics. / Persson, Jacob; Gallois, Axel; Björkelund, Anders et al.
ISR/ROBOTIK 2010 : Proceedings for the joint conference of ISR 2010 (41st International Symposium on Robotics) and ROBOTIK 2010 (6th German Conference on Robotics). 2010.

Forskningsoutput: Kapitel i bok/rapport/Conference proceeding › Konferenspaper i proceeding › Peer review

TY - GEN

T1 - A knowledge integration framework for robotics

AU - Persson, Jacob

AU - Gallois, Axel

AU - Björkelund, Anders

AU - Hafdell, Love

AU - Haage, Mathias

AU - Malec, Jacek

AU - Nilsson, Klas

AU - Nugues, Pierre

PY - 2010

Y1 - 2010

N2 - 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.

AB - 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.

M3 - Paper in conference proceeding

SN - 978-3-8007-3273-9

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

T2 - ISR/Robotik

Y2 - 7 June 2010 through 9 June 2010

ER -

A knowledge integration framework for robotics

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