In this paper we present WebClustCube, an innovative framework for supporting Web search of complex objects via multidimensional paradigms. WebClustCube focuses on the issue of empowering traditional Web search methodologies by means of novel paradigms. In particular, WebClustCube supports the building and the interactive manipulation of OLAP-enabled Web views over complex objects extracted from distributed databases. The data management, OLAP-like support of WebClustCube is provided by ClustCube, a state-of-the-art framework for coupling OLAP methodologies and clustering algorithms with the goal of analyzing and mining of complex database objects. We complement of analytical contribution by means of a case study that clearly shows the potentialities of WebClustCube in the context of next-generation Web search environments.
