OLAP-Enabled Web Search of Complex Objects
Decanato - Facoltà di scienze informatiche
Data d'inizio: 27 Novembre 2015
Data di fine: 28 Novembre 2015
Speaker: |
Alfredo Cuzzocrea |
University of Trieste, Italy |
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Date: |
Friday, November 27, 2015 |
Place: |
USI Lugano Campus, room SI-06, Informatics building (Via G. Buffi 13) |
Time: |
15:30 |
Abstract: |
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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.
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