Complete OWL-DL Reasoning Using Relational Databases
DEXA '09 Proceedings of the 20th International Conference on Database and Expert Systems Applications
Proceedings of the Fourteenth International Database Engineering & Applications Symposium
The extension-based inference algorithm for pD*
Data & Knowledge Engineering
Multidimensional integrated ontologies: a framework for designing semantic data warehouses
Journal on Data Semantics XIII
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With the increasing development of real applications using Semantic Web Technologies, it is necessary to provide scalable and efficient ontology querying and reasoning systems. In this paper we present DBOWL, a persistent and scalable OWL reasoner. Ontologies are stored in a relational database, using a description logic reasoner to pre-compute the class and property hierarchies and to obtain all theontology information (i.e. properties domain and range) which is also stored in the database. Furthermore, a simple but expressive query language has been implemented, which allows us to query and reason on these ontologies. In order to show the use of the tool, we present an example that generates a relational database to store the Univ-Bench ontology. Finally, in order to asses the performance ofour tool, we use LUMB, a well known benchmark to comparerepositories in the Semantic Web extending it with more complex queries, and we compare the results obtained with Minerva. The results show the efficiency and scalability of DBOWL and the power of the query language.