Distributed store for ontology data management

The Semantic Web is recognized as the next generation web which aims at the automation, integration and reuse of data across different internet applications. To better understand and utilize the Semantic Web, the W3C adopted standards and tools such as the Resource Description Framework (RDF) and Web Ontology Language (OWL). Management of large amounts of semantic data, stored in semantic models, are required within almost every semantic web application environment, thus motivating the design of specific repositories in order to store and operate semantic models. However, most semantic storage systems based on a relational database support both a monolithic schema with a single table that stores all statements. Since the Semantic Web systems use OWL ontologies as set of RDF triples (which are not composed of hierarchical knowledge between class and property) rather than complex OWL data models, they are not compliant with the more advanced systems. Further, an expected reduced system performance can be observed due to the large amount of semantic data managed in a single storage model. We propose improving the storage model of OWL by changing the management of OWL data and designing an efficient new relational database layout to store an OWL knowledge base, focused on the OWL 2 DL language relational. Upon evaluation, our storage system shows an improvement in the performance and management