OLAP-Enabled Web Search of Complex Objects

Speaker:

Alfredo Cuzzocrea

University of Trieste, Italy

Date:

Friday, November 27, 2015

Place:

USI Lugano Campus, room SI-06, Informatics building (Via G. Buffi 13)

Time:

15:30

Abstract:

Abstract: Inspired by the actual trend of empowering traditional Web search methodologies by means of novel computational paradigms, in this talk we describe WebClustCube, a novel system that allows OLAP-enabled Web search of complex objects, thus adding new value to the potentialities of current Web search 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. A case study that clearly shows the potentialities of WebClustCube in the context of next-generation Web search environments is provided. ClustCube is a novel computational paradigm for clustering complex database objects extracted from dis tributed database settings via well-understood OLAP technology. This paradigm conveys in the so-called ClustCube cubes, which define a novel multidimensional data cube model according to which (data) cubes store clustered complex database objects rather than conventional SQL-based aggregations. A major contribution of this research is represented by effective and efficient algorithms for computing ClustCube cubes that, surprisingly, are capable of reducing computational efforts significantly with respect to traditional approaches.