Xavier
Oriol
Hilari
Knowledge and Service Engineering Collaborating Professor
Final Degree Projects directed
Doctoral theses completed
Main projects directed
SUDOQU (enSUring Data with Ontological QUality) is a research project funded by the Ministry of Science and Innovation, the objective of which is the development of techniques to ensure data quality through the use of ontologies.
Dynamically analyze the code structure of a software project to extract, automatically, various metrics that allow its qualification.
Analyze, statically, the code structure of a software project to extract, automatically, various metrics that allow its qualification.
Main projects participated
Cardinality estimation in relational databases is a well-studied problem, but graph databases rarely follow the uniformity and independence assumptions that these estimators make, and therefore lose precision.
This project studies the feasibility of using QR codes in the food sector to provide end customers with more information and content about the products they buy.
TINTIN is a tool to support SQL assertions in relational databases.
