OLAP-enabled web search of complex objects

Alfredo CUZZOCREA, Guandong XU, Giorgio Mario GRASSO

Research output: Chapter in Book/Report/Conference proceedingChapters


Inspired by the actual trend of empowering traditional Web search methodologies by means of novel computational paradigms, in this paper we propose and experimentally assess 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. We complement of analytical contribution by means of an experimental assessment and analysis of WebClustCube according to several metric perspectives. Copyright © 2015 ACM.

Original languageEnglish
Title of host publicationProceedings of the 17th International Conference on Information Integration and Web-based Applications & Services
Place of PublicationNew York
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450334914
Publication statusPublished - Dec 2015


Cuzzocrea, A., Xu, G., & Grasso, G. M. (2015). OLAP-enabled web search of complex objects. In Proceedings of the 17th International Conference on Information Integration and Web-based Applications & Services. Association for Computing Machinery. https://doi.org/10.1145/2837185.2837243


  • Web search
  • OLAP-enabled web search
  • Complex object searching
  • Advanced mining applications
  • Intelligent systems


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