A UML Profile for Variety Awareness in Multidimensional Design

Sandro Bimonte, Houssam Bazza, Jean Laneurit, Stefano Rizzi, Hassan Badir
2022 International Workshop on Data Warehousing and OLAP  
Variety and variability are an inherent source of information wealth in schemaless sources, and executing OLAP sessions on multidimensional data in their presence has recently become an object of research. However, all models devised so far propose a "rigid" view of the multidimensional content, without taking into account variety and variability. To fill this gap, in this paper we propose V-ICSOLAP, an extension of the ICSOLAP UML profile that supports extensibility and type/name variability
more » ... r each multidimensional element, as well as complex data types for measures and levels. The real case study we use to motivate and illustrate our approach is that of trajectory analysis for agricultural robots. As a proof-of-concept for V-ICSOLAP, we propose an implementation that relies on the PostgreSQL multi-model DBMS and we evaluate its performances. We also provide a validation of our UML profile by ranking it against other meta-models based on a set of quality metrics.
dblp:conf/dolap/BimonteBLRB22 fatcat:tucoimbmtbd4haf2euzuiwz2r4