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dc.contributor.advisorMidtstraum, Rogernb_NO
dc.contributor.advisorZoric, Josipnb_NO
dc.contributor.authorBugten, Terese Emilienb_NO
dc.contributor.authorKalitina, Elenanb_NO
dc.date.accessioned2014-12-19T13:30:44Z
dc.date.available2014-12-19T13:30:44Z
dc.date.created2010-09-02nb_NO
dc.date.issued2007nb_NO
dc.identifier346701nb_NO
dc.identifierntnudaim:3483nb_NO
dc.identifier.urihttp://hdl.handle.net/11250/250081
dc.description.abstractThe Internet is in continuous evolution to become a more intelligent web. The need for this has become obvious the past years, as the evolution of, and the need for services has undergone a considerable growth. An intelligent web can be referred to as making services, context and content interoperate using semantic methodologies. One example is focusing on context aware services that use ontology processing to deliver the best possible result to the user. These elements are central in our work. A framework and a scenario that describes the setting for our work is presented. This framework is expanded into other environments that all have their scenario. The scenario varies for the different environments, in accordance with the architecture of the environment. We start with an Environment A that is the foundation for all other environments. The main goal of this thesis is to try to determine the best way to build an ontology based environment, including filtering and matchmaking. To do this, we have developed our own performance test framework that is used to test the performance in the different environments. In the end, we discuss our results and try to give an indication on which environment is the best, with a view on performance in filtering and matchmaking.nb_NO
dc.languageengnb_NO
dc.publisherInstitutt for datateknikk og informasjonsvitenskapnb_NO
dc.subjectntnudaimno_NO
dc.subjectSIF2 datateknikkno_NO
dc.subjectProgram- og informasjonssystemerno_NO
dc.titleOntology based service functionality testsnb_NO
dc.typeMaster thesisnb_NO
dc.source.pagenumber190nb_NO
dc.contributor.departmentNorges teknisk-naturvitenskapelige universitet, Fakultet for informasjonsteknologi, matematikk og elektroteknikk, Institutt for datateknikk og informasjonsvitenskapnb_NO


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