A metadata model for profiling multidimensional sources in data ecosystems

The Big Data landscape poses challenges in managing di- verse data formats, requiring efficient storage and processing for high- quality analysis. Effective metadata management is crucial for organiz- ing, accessing, and reusing data within these data ecosystems. Existing metadata vocabularies and standard, however, do not adequately accom- modate aggregated or summary data. This paper introduces a metadata model to support semantic annotation and profiling of multidimensional data. Defined as an RDF vocabulary, the model provides a flexible and extensible graph representation for metadata at source and attribute lev- els, aligning dimensions and measures to a reference Knowledge Graph and summarizing value distributions in profiles. An evaluation of the ex- ecution time for profile generation is also proposed, across data sources with different cardinalities.