Towards Data Warehouse Schema Design from Social Networks - Dynamic Discovery of Multidimensional Concepts
Rania Yangui, Ahlem Nabli, Faı̈ez Gargouri · 2015
This research work is conducting as part of the project BWEC (Business for Women in Women of Emerging Country) that aims to improve the socio-economic situation of handicraft women by providing true technological means. In fact, since few years, the Web has been transformed into an exchange platform where users have become the main suppliers of information through social media. User-generated data are usually rich and thus need to be analyzed to enhance decision. The storage and the centralization of these data in a data warehouse (DW) are highly required. Nevertheless, the growing complexity and volumes of the data to be analyzed impose new requirements on DW. In order to address these issues, in this paper, we propose four stages methodology to define a DW schema from social networks. Firstly we design the initial DW schema based on the existing approaches. Secondly, we apply a set of transformation rules to prepare the creation of the NOSQL(Not Only SQL) data warehouse. Then, based on user???s requirement, clustering of social networks profiling data will be performed which allows the dynamic discovery of multidimensional concepts. Finally, the enrichment of the NoSQL DW schema by the discovered MC will be realized to ensure the DW schema evolution.