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 language | English |
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Title of host publication | Proceedings of the3rd International Conference on Agents and Artificial Intelligence |
Publisher | SCITEPRESS |
Pages | 637-642 |
DOIs | |
Publication status | Published - 2011 |
Event | 3rd international conference on agents and artificial intelligence (ICAART 2011) - Rome Duration: 28 Jan 2011 → 30 Jan 2011 |
Conference
Conference | 3rd international conference on agents and artificial intelligence (ICAART 2011) |
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Period | 28/01/11 → 30/01/11 |
Other | 28-30 January 2011 |