A Framework for Ontology Reuse and Persistence Integrating UML and Sesame.
ABSTRACT Nowadays there is a great effort underway to improve the World Wide Web. A better content organisation, allowing automatic processing, lead- ing 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 ar- chitecture 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.
Full-textDOI: · Available from: Carlos Pedrinaci, May 29, 2015
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ABSTRACT: To realise the Global Village Grid in an e-services framework, software engineers encounter with data and services integration in software developments and implementations. Additionally, unifying the e-services would be realised in global e-governance concerning globalisation trends. Software engineers need some reference architectures to implement an e-services framework in the all-inclusive world. They also need a reference model on which to base their reference architectures. On the other hand, there is no reference model, which could be used to develop and unify e-services. We suggest a reference model called Global Village Grid Reference Model (GVGRM) to realise the Global Village Grid in an e-services framework. Thus, GVGRM could be used as the baseline for any kind of software engineering efforts pertaining to the e-services. Finally, we have used the new definitions to propose the suggested reference model through the suggested ontology called service-oriented strategies and architectures.International Journal of Services Economics and Management 01/2010; 2(1):1-29. DOI:10.1504/IJSEM.2010.029789
International Journal of Human-Computer Studies 07/2007; 65(7):595--609. DOI:10.1016/j.ijhcs.2007.03.001 · 1.17 Impact Factor