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, Eric Cornelisse, Wico Mulder

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.

References

  1. Barfield, W., Dingus, T. A., 1998. Human factors in intelligent transportation systems. Lawrence Erlbaum Associates. Mahwah, New Jersey.
  2. Feki, M. A., Mokhtari M., 2006. Context aware and ontology specification for assistive environment, HWRS-ERS Journal, International Journal of Humanfriendly Welfare Robotic Systems, Vol. 4, no. 2, pp. 29-32.
  3. Jamson, A. H., Merat, N., 2005. Surrogate in-vehicle information systems and driver behaviour: effects of visual and cognitive load in simulated rural driving. Transportation Research Part F: Traffic Psychology and Behavior, Vol. 8, no. 2, pp. 79-96.
  4. Lee, David, Yannakakis, Mihalis, 1996. Principles and methods of testing finite state machine- a survey.
  5. Liu, C. H., Chang, K. L., Jason, J. Y., Chen, Hung, S. C., 2010. Ontology-Based Context Representation and Reasoning Using OWL and SWRL. 8th Annual Communication Networks and Services Research Conference.
  6. Liu, Y. C., 2001. Comparative study of the effects of auditory, visual and multimodal displays on driver's performance in advanced traveller information systems. Ergonomics, Vol. 44, no. 4, pp. 425-442.
  7. Martín, L., Anguita, A., Maojo, V., Bonsma, E., Bucur, A., I., D., Vrijnsen, J., Brochhausen, M., Cocos, C., Stenzhorn, H., Tsiknakis, M., Doerr, M., Kondylakis, H., 2008. Ontology Based Integration of Distributed and Heterogeneous Data Sources in ACGT. HEALTHINF 1INSTICC - Institute for Systems and Technologies of Information, Control and Communication, pp. 301-306.
  8. McCann J.A., Kristofferson P., Alonso, E., 2004. Building Ambient Intelligence into a Ubiquitous Computing Management System, International Symposium of Santa Caterina on Challenges in the Internet and Interdisciplinary Research., Amalfi, Italy (January, SSCCII-2004).
  9. Shaou-Gang, M., Fu-Chiau S., Chia-Yuan H., 2007. A Smart Vision-Based Human Fall Detection System for Telehealth Applications. IASTED Telehealth Conference (Montreal, QC, Canada) (May- June 2007).
  10. Wang, J., Zuo, W., He, F., Wang, Y., 2009. A New Formal Description of Ontology Definition and Ontology Algebra. Second International Symposium on Knowledge Acquisition and Modeling.
  11. William L., S., Kristina L., W., Zhengxin C., 2009. Constructing Domain Ontology from Texts: A Practical Approach and a Case Study. Fifth International Conference on Next Generation Web Services Practices.
  12. Zhou, L., Zhang, D., Chen, X., Zhang C., 2008. A Method for Semantics-based Conceptual Expansion of Ontology. Proceedings of the 2008 ACM symposium on Applied computing.
Download


Paper Citation


in Harvard Style

Stoter A., Dalmolen S., Drenth E., Cornelisse E. and 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 the 3rd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-8425-40-9, pages 637-642. DOI: 10.5220/0003185506370642


in Bibtex Style

@conference{icaart11,
author={Arjan Stoter and Simon Dalmolen and Eduard Drenth and Eric Cornelisse and Wico Mulder},
title={REAL-TIME CONTEXT AWARE REASONING IN ON-BOARD INTELLIGENT TRAFFIC SYSTEMS - An Architecture for Ontology-based Reasoning using Finite State Machines},
booktitle={Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2011},
pages={637-642},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003185506370642},
isbn={978-989-8425-40-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - REAL-TIME CONTEXT AWARE REASONING IN ON-BOARD INTELLIGENT TRAFFIC SYSTEMS - An Architecture for Ontology-based Reasoning using Finite State Machines
SN - 978-989-8425-40-9
AU - Stoter A.
AU - Dalmolen S.
AU - Drenth E.
AU - Cornelisse E.
AU - Mulder W.
PY - 2011
SP - 637
EP - 642
DO - 10.5220/0003185506370642