Bayesian decision-based ontology cache

The performance of ontology-based information systems due that access large amounts of ontology data in distributed environments is improved with an ontology cached model based on Bayesian decision theory.The model reduces the network access frequency by locally and sequentially caching ontology data.The method abstracts several key characteristics from the ontology semantics and the ontology access history and then locally caches those ontology concepts or instances selected by the Bayesian decision algorithm.Tests show that the system increases the access rate by around 25%.