Semantic Information Integration for Stream Reasoning
Heintz, Fredrik Dragisic, Zlatan 2012 (English)In: Proceedings of the 15th International Conference on Information Fusion (FUSION), Linköping: Linköping University Electronic Press, 2012Conference paper, Presentation (Other academic)
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.
National CategoryComputer Science
IdentifiersURN: urn:nbn:se:liu:diva-79271OAI: oai:DiVA.org:liu-79271DiVA: diva2:539926
15th International Conference on Information Fusion, 9-12 July, Singapore