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Ontology-based Generation of Personalised Data Management Systems: an Application to Experimental Particle Physics
This thesis work aims at bridging the gap between the fields of Web Semantics and Experimental Particle Physics. Taking as a use case a specific type of physics experiments, namely the irradiation experiments used for assessing the resistance of components to radiation, a domain model, what in Web S...
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Lenguaje: | eng |
Publicado: |
2020
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Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2743492 |
Sumario: | This thesis work aims at bridging the gap between the fields of Web Semantics and Experimental Particle Physics. Taking as a use case a specific type of physics experiments, namely the irradiation experiments used for assessing the resistance of components to radiation, a domain model, what in Web Semantics is called an ontology, has been created for describing the main concepts underlying the data management of irradiation experiments. Using such a formalisation, a methodology has been introduced for the automatic generation of data management systems based on ontologies and used to generate a web application for IEDM, the previously introduced ontology. In the last part of this thesis work, by the use of user-interface (UI) display preferences stored as instances of a UI-dedicated ontology we introduced, a method that represents these ontology instances as feature vectors (embeddings) for recommending personalised UIs is presented. |
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