[PDF][PDF] Evaluation and optimized usage of OWL 2 reasoners in an event-based eHealth context
4e OWL reasoner evaluation (ORE) workshop, 2015•biblio.ugent.be
This paper evaluates the performance of the OWL 2 reasoners Pellet and HermiT in an
eHealth context where most of the ABox is considered static and discrete transient events
describing the environment are incrementally added and processed. The considered use
case is the assignment of tasks and calls to nurses. To provide personalized and optimized
care, the selection process utilizes reasoning to make intelligent assignment decisions
based on the available information. This has been implemented using multiple SPARQL …
eHealth context where most of the ABox is considered static and discrete transient events
describing the environment are incrementally added and processed. The considered use
case is the assignment of tasks and calls to nurses. To provide personalized and optimized
care, the selection process utilizes reasoning to make intelligent assignment decisions
based on the available information. This has been implemented using multiple SPARQL …
Abstract
This paper evaluates the performance of the OWL 2 reasoners Pellet and HermiT in an eHealth context where most of the ABox is considered static and discrete transient events describing the environment are incrementally added and processed. The considered use case is the assignment of tasks and calls to nurses. To provide personalized and optimized care, the selection process utilizes reasoning to make intelligent assignment decisions based on the available information. This has been implemented using multiple SPARQL-queries to enable easy adaptation of the assignment algorithm. Since limited time is available to perform the assignments, the decision should be made in at most five seconds. An analysis of the performance and scalability of the reasoners is presented. To deal with the limited time frame, several optimizations are suggested, which exploit that most of the ABox is considered static.
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