Benchmarking data schemes of ontology based databases

Authors:
Hondjack Dehainsala;Guy Pierra;Ladjel Bellatreche
Affiliations:
Laboratory of Applied Computer Science (LISI), ENSMA – Poitiers University, France;Laboratory of Applied Computer Science (LISI), ENSMA – Poitiers University, France;Laboratory of Applied Computer Science (LISI), ENSMA – Poitiers University, France
Venue:
OTM'06 Proceedings of the 2006 international conference on On the Move to Meaningful Internet Systems: AWeSOMe, CAMS, COMINF, IS, KSinBIT, MIOS-CIAO, MONET - Volume Part I
Year:
2006

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Abstract

Nowadays, ontologies are more and more used in several research and application domains, in particular e-commerce, e-business and the Semantic Web Several tools for managing ontology data and ontology-based data (also called individuals or ontology class instances) are available Usually, ontology-based data manipulated by these tools are stored in the main memory Thus, for applications that manipulate a large amount of ontology-based data, it is difficult to ensure an acceptable performance So, there is a real need for storing ontology-based data in database schemas to get benefit of the capabilities offered by DBMSs (query performance, data storage, transaction management, etc.) We call this kind of databases Ontology-Based Databases (OBDBs).