Author:
Heintz, Fredrik (Linköping University, Department of Computer and Information Science, KPLAB - Knowledge Processing Lab) (Linköping University, The Institute of Technology)
Dragisic, Zlatan (Linköping University, Department of Computer and Information Science, Database and information techniques) (Linköping University, The Institute of Technology)
Title:
Semantic Information Integration for Stream Reasoning
Department:
Linköping University, Department of Computer and Information Science, Database and information techniques
Linköping University, Department of Computer and Information Science, KPLAB - Knowledge Processing Lab
Linköping University, The Institute of Technology
Publication type:
Conference paper, Presentation (Other academic)
In:
Proceedings of the 15th International Conference on Information Fusion (FUSION)
Conference:
15th International Conference on Information Fusion, 9-12 July, Singapore
Place of publ.:
Linköping
Publisher:
Linköping University Electronic Press
URI:
urn:nbn:se:liu:diva-79271
Permanent link:
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-79271
Abstract(en)
:
The main contribution of this paper is a practicalsemantic information integration approach for stream reasoningbased on semantic matching. This is an important functionality for situation awareness applications where temporal reasoning over streams from distributed sources is needed. The integration is achieved by creating a common ontology, specifying the semantic content of streams relative to the ontology and then use semantic matching to find relevant streams. By using semantic mappings between ontologies it is also possible to do semantic matching over multiple ontologies. The complete stream reasoning approach is integrated in the Robot Operating System(ROS) and used in collaborative unmanned aircraft systems missions.
Available from:
2012-07-11
Statistics:
36 hits