Dia: 16/8 – sexta-feira  Horário: 10h

Local: Sala DCC – corredor DCC, segundo andar NCE/CCMN– UFRJ

Título: On the Application of Ontological Patterns for Conceptual Modeling in Multidimensional Models
Multidimensional modeling is a special approach to modeling data, considered the foundation for building data warehouses (DW). With the explosive growth in the amount of heterogeneous data (most of which external to the organization) in the latest years, the DW has been impacted by the need to interoperate and deal with the complexity of this new type of information, such as big data, data lakes and cognitive computing platforms, becoming evident the need to improve the semantic expressiveness of the DW. Research has shown that ontological theories can play a fundamental role in improving the quality of conceptual models, reinforcing their potential to support semantic interoperability in its various manifestations. We propose the application of ontological patterns, grounded in the Unified Foundational Ontology (UFO), for conceptual modeling in multidimensional models, in order to improve the semantic expressiveness of the models used to represent analytical data in a DW.

Glenda Carla Moura Amaral is a PhD student in Computer Science at the Free University of Bozen-Bolzano and member of the KRDB Research Centre for Knowledge and Data (KRDB). She holds a MSc. Degree in Computer Sciences from the Federal University of Rio de Janeiro, Brazil. Glenda has been working in the latest years as an information governance analyst at the Central Bank of Brazil in the areas of ontology, conceptual modeling, metadata and master data management, data quality and open data. She is currently interested in ontology-based conceptual modeling for the financial sector.