Abstract
To improve the efficiency of information retrieval,a Path-based OWL Storage(POS) model was proposed.In addition,the structure of the POS system for the translation and storage of OWL data was illustrated.A data schema of inputted OWL and a data graph with hierarchical structural information between classes or properties were analyzed by POS system.Also,paths from the root class or property to all classes or properties were extracted via a Depth-First-Search(DFS) method.The extracted hierarchical structural information was stored in a path attribute in the relational database tables.Compared with the traditional method,the processing time for ontology query and update in the experiment has a feasible improvement.
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