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A Framework for Ontology Reuse and Persistence Integrating UML and Sesame

Pedrinaci, Carlos; Bernaras, Amaia; Smithers, Tim; Aguado, Jessica and Cendoya, Manuel (2004). A Framework for Ontology Reuse and Persistence Integrating UML and Sesame. In: Current Topics in Artificial Intelligence, pp. 37–46.

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Nowadays there is a great effort underway to improve the World Wide Web. A better content organisation, allowing automatic processing, leading to the Semantic Web is one of the main goals. In the light of bringing this technology closer to the Software Engineering community we propose an architecture allowing an easier development for ontology-based applications. Thus, we first present a methodology for ontology creation and automatic code generation using the widely adopted CASE UML tools. And based on a study of the art of the different RDF storage and querying systems, we couple this methodology with the Sesame system for providing a framework able to deal with large knowledge bases.

Item Type: Conference or Workshop Item
Copyright Holders: 2004 Springer
ISSN: 1611-3349
Extra Information: The original publication is available at

ISBN: 978-3-540-22218-7
Series: LNCS Vol 3040 p.37-46
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Item ID: 28642
Depositing User: Kay Dave
Date Deposited: 16 May 2011 12:21
Last Modified: 10 Dec 2018 08:45
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