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

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

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.

Original language	English
Title of host publication	ISR/ROBOTIK 2010 : Proceedings for the joint conference of ISR 2010 (41st International Symposium on Robotics) and ROBOTIK 2010 (6th German Conference on Robotics)
Number of pages	8
Publication status	Published - 2010
Event	ISR/Robotik - Munich, Germany Duration: 2010 Jun 7 → 2010 Jun 9

Conference

Conference	ISR/Robotik
Country/Territory	Germany
City	Munich
Period	2010/06/07 → 2010/06/09

Subject classification (UKÄ)

Computer Sciences

Cite this

@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.

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference 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

Abstract

Conference

Subject classification (UKÄ)

Fingerprint

Cite this