Benchmarking Query Complexity between RDB and OWL

摘要

This paper describes how to benchmark relational database; RDB and web ontology language; OWL using query complexity concept on two difference speed machines. The domain was based on Hua Hin tourism. The purpose of this experiment was to benchmarking Semantic Web Knowledge Base Systems on relational perspective of query complexity. We use our tool to run on different speed machines to measure data complexity factors and the time of each activity. As a result, we conclude that if there is more data size and joined variables, the query complexity of RDB will increase but the ontology will reduce one. The advantage, the approach has been implemented and evaluated on improving the search engine of semantic web and reducing the expression complexity on a real archive.