Spatial OLAP systems aim to interactively analyze huge volumes of geo-referenced data. They allow decision-makers to on-line explore and visualize warehoused spatial using pivot tables, graphical displays and interactive maps. On the other hand, it has been recently shown that chorem maps represent an excellent geovisualization technique to summarize spatial phenomena. Therefore, in this paper we introduce a framework being capable to merge the interactive analysis capability of SOLAP systems and the potentiality of a chorem-based visual notation in terms of visual summary. We also propose a general architecture based on standards to automatically extract and visualize chorems from SDWs according to our framework