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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Abstract

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
PublisherSCITEPRESS
Pages637-642
DOIs
Publication statusPublished - 2011

Publication series

Name
PublisherSciTePress

Keywords

  • IR-87497

Cite this

Stoter, A., Dalmolen, S., Drenth, E., Cornelisse, E., & Mulder, W. (2011). Real-time context aware reasoning in on-board intelligent traffic systems: An Architecture for Ontology-based Reasoning using Finite State Machines. In Proceedings of the3rd International Conference on Agents and Artificial Intelligence (pp. 637-642). SCITEPRESS. https://doi.org/10.5220/0003185506370642
Stoter, Arjan ; Dalmolen, Simon ; Drenth, Eduard ; Cornelisse, Erik ; Mulder, Wico. / Real-time context aware reasoning in on-board intelligent traffic systems: An Architecture for Ontology-based Reasoning using Finite State Machines. Proceedings of the3rd International Conference on Agents and Artificial Intelligence. SCITEPRESS, 2011. pp. 637-642
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Stoter, A, Dalmolen, S, Drenth, E, Cornelisse, E & Mulder, W 2011, Real-time context aware reasoning in on-board intelligent traffic systems: An Architecture for Ontology-based Reasoning using Finite State Machines. in Proceedings of the3rd International Conference on Agents and Artificial Intelligence. SCITEPRESS, pp. 637-642. https://doi.org/10.5220/0003185506370642

Real-time context aware reasoning in on-board intelligent traffic systems: An Architecture for Ontology-based Reasoning using Finite State Machines. / Stoter, Arjan; Dalmolen, Simon; Drenth, Eduard; Cornelisse, Erik; Mulder, Wico.

Proceedings of the3rd International Conference on Agents and Artificial Intelligence. SCITEPRESS, 2011. p. 637-642.

Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

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T1 - Real-time context aware reasoning in on-board intelligent traffic systems: An Architecture for Ontology-based Reasoning using Finite State Machines

AU - Stoter, Arjan

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AU - Cornelisse, Erik

AU - Mulder, Wico

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AB - 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.

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Stoter A, Dalmolen S, Drenth E, Cornelisse E, Mulder W. Real-time context aware reasoning in on-board intelligent traffic systems: An Architecture for Ontology-based Reasoning using Finite State Machines. In Proceedings of the3rd International Conference on Agents and Artificial Intelligence. SCITEPRESS. 2011. p. 637-642 https://doi.org/10.5220/0003185506370642