Efficient Processing of Huge Ontologies in Logic and Relational Databases

Today ontologies are heavily used in the sematic web. As
they grow in size reasoning systems can’t work without secondary storage anymore. Thus database technology is required for storing and processing huge ontologies. In this paper we present an efficient technique for representing and reasoning with ontologies in databases. We also present some benchmarking results in comparison with previous approaches.