COROR: a composable rule-entailment owl reasoner for resource-constrained devices
RuleML'2011 Proceedings of the 5th international conference on Rule-based reasoning, programming, and applications
Mobile semantic-based matchmaking: a fuzzy DL approach
ESWC'10 Proceedings of the 7th international conference on The Semantic Web: research and Applications - Volume Part I
Design and validation of a light inference system to support embedded context reasoning
Personal and Ubiquitous Computing
Data & Knowledge Engineering
| Hi-index | 0.00 |
Centralized semantic sensor network systems gradually show performance degradation as the scale of the sensor network increases. Thus systems based on distributed approaches with local, autonomous management features are urgently required. In order to achieve local autonomy, it is necessary to push semantics towards the edge of the sensor network, but this is hampered by the lack of availability of lightweight ontology processing and reasoning technologies that are cognisant of the limited resources available in sensor network nodes. This paper proposes an approach to dynamically and automatically compose an ontology reasoner to provide only the level of OWL reasoning required for a given application. A design and prototype implementation are presented, with initial evaluations confirming that this approach saves memory without loss of reasoning ability, which facilitates OWL reasoning on the resource constrained devices typical in sensor networks.