  Innovative developments in data processing, archiving, analysis, and
visualization are nowadays unavoidable to deal with the data deluge expected in
next-generation facilities for radio astronomy, such as the Square Kilometre
Array (SKA) and its precursors. In this context, the integration of source
extraction and analysis algorithms into data visualization tools could
significantly improve and speed up the cataloguing process of large area
surveys, boosting astronomer productivity and shortening publication time. To
this aim, we are developing a visual analytic platform (CIRASA) for advanced
source finding and classification, integrating state-of-the-art tools, such as
the CAESAR source finder, the ViaLactea Visual Analytic (VLVA) and Knowledge
Base (VLKB). In this work, we present the project objectives and the platform
architecture, focusing on the implemented source finding services.
