TY - Type of reference TI - Value and Variety Driven Approach for Extended Data Warehouses Design AU - Nabila Berkani AU - Selma Khouri AU - Ladjel Bellatreche AB - In a very short time (1999-present), the data warehouse (DW) technology has gone through all the phases of a technological product’s life : introduction on the market, growth, maturity and decline, signaled by the appearance of Big Data. In the big data landscape, the arrival of Linked Open Data (LOD) transforms the Big Data threat into an opportunity for DWs, because they bring added value and knowledge that we do not find in the internal sources feeding a DW. However, the consideration of LODs increases the variety of sources, which must be managed effectively. In this paper, we present a new value and variety driven approach for DW design that we apply to a case study of the SHS domain. DO - 10.21494/ISTE.OP.2019.0333 JF - Information Retrieval, Document and Semantic Web KW - Data warehouse, Linked open data, Variety, Value, Entrepôt de Données Etendu, Données Ouvertes et Liées, Variété, Valeur, L1 - http://www.openscience.fr/IMG/pdf/iste_ridows18v2n1_5.pdf LA - en PB - ISTE OpenScience DA - 2019/02/19 SN - 2516-3280 TT - Approche Guidée par la Valeur et la Variété pour Concevoir des Entrepôts de Données Etendus UR - http://www.openscience.fr/Value-and-Variety-Driven-Approach-for-Extended-Data-Warehouses-Design IS - Issue 1 VL - 2 ER -