Real-time context aware reasoning in on-board intelligent traffic systems: An Architecture for Ontology-based Reasoning using Finite State Machines

Arjan Stoter, Simon Dalmolen, Eduard Drenth, Erik Cornelisse, Wico Mulder

Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

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In-vehicle information management is vital in intelligent traffic systems. In this paper we motivate an architecture for ontology-based context-aware reasoning for in-vehicle information management. An ontology is essential for system standardization and communication, and ontology-based reasoning allows context-awareness, inference and advanced reasoning capabilities. However, the amount of computational power it requires often conflicts with the computational limitations of on-board units, as well as the high demand for timeliness and safety. Our approach uses ontology-based reasoning and a finite state machine (FSM). By combining ontology and FSM, we illustrate how a heavy-weight reasoning-solution could be applied in a light-weight computational environment.
Original languageUndefined
Title of host publicationProceedings of the3rd International Conference on Agents and Artificial Intelligence
Publication statusPublished - 2011
Event3rd international conference on agents and artificial intelligence (ICAART 2011) - Rome
Duration: 28 Jan 201130 Jan 2011

Publication series



Conference3rd international conference on agents and artificial intelligence (ICAART 2011)
Other28-30 January 2011


  • IR-87497

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