Published November 2, 2020
| Version v1
Thesis
Open
Ontology-based Generation of Personalised Data Management Systems: an Application to Experimental Particle Physics
Contributors
Supervisors:
Description
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.
Files
CERN-THESIS-2020-165.pdf
Files
(9.5 MB)
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Additional details
Additional titles
- Translated title
- Gèneration de systèmes de gestion de donées personnalisés fondée sur les ontologies: une application à la physique expérimentale des particules
Identifiers
- CDS
- 2743492
- CDS Report Number
- CERN-THESIS-2020-165
- CDS Report Number
- 2020UPSLM017
CERN
- Department
- EP
- Programme
- CERN Doctoral Student Program
- Studies
- Not applicable