Name
Abstract | ||
|---|---|---|
Context aware systems use context information toadapt their behaviour accordingly. In order to derive highlevel context information from low level context, such as sensorvalues, context reasoning methods that correlate observablecontext information, are necessary. Several context reasoningmechanisms have been proposed in the literature. Usually thesemechanisms are centralized, leading to suboptimal utilization ofnetwork resources and poor system performance in case of largescalescenarios. Therefore to increase the scalability of contextreasoning systems the development of methods that distribute thereasoning process is necessary. Existing distributed approachesare method specific and do not provide a generic formalizationfor distributed reasoning. In this paper we introduce a novelsystem which enables distributed context reasoning in a genericway that is independent of the reasoning algorithm. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/ICAS.2010.21 | ICAS |
Keywords | Field | DocType |
context reasoning,observablecontext information,approachesare method,highlevel context information,context information,context reasoningmechanisms,context reasoning method,context aware system,low level context,reasoning algorithm,optimization,bayesian methods,cognition,context modeling,literature,system performance,correlators,distributed databases,ubiquitous computing,servers,scalability | Computer science,Server,Context awareness,Real-time computing,Context model,Ubiquitous computing,Distributed database,Reasoning system,Cognition,Distributed computing,Scalability | Conference |
Citations | PageRank | References |
2 | 0.50 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Stamatia Rizou | 1 | 77 | 8.67 |
| Kai Häussermann | 2 | 27 | 4.95 |
| Frank Dürr | 3 | 500 | 43.83 |
| Nazario Cipriani | 4 | 49 | 7.99 |
| Kurt Rothermel | 5 | 2806 | 450.84 |