Towards a framework for supporting web search of complex objects via multidimensional paradigms

Cuzzocrea, A; Xu, G

Towards a framework for supporting web search of complex objects via multidimensional paradigms

Cuzzocrea, A Xu, G

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Publication Type:: Conference Proceeding
Citation:: Proceedings - 14th International Conference on Computational Science and Its Applications, ICCSA 2014, 2014, pp. 217 - 220
Issue Date:: 2014-12-04

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Field	Value	Language
dc.contributor.author	Cuzzocrea, A	en_US
dc.contributor.author	Xu, G https://orcid.org/0000-0003-4493-6663	en_US
dc.date.issued	2014-12-04	en_US
dc.identifier.citation	Proceedings - 14th International Conference on Computational Science and Its Applications, ICCSA 2014, 2014, pp. 217 - 220	en_US
dc.identifier.isbn	9781479942640	en_US
dc.identifier.uri	http://hdl.handle.net/10453/33776
dc.description.abstract	© 2014 IEEE. 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.	en_US
dc.relation.ispartof	Proceedings - 14th International Conference on Computational Science and Its Applications, ICCSA 2014	en_US
dc.relation.isbasedon	10.1109/ICCSA.2014.49	en_US
dc.title	Towards a framework for supporting web search of complex objects via multidimensional paradigms	en_US
dc.type	Conference Proceeding
utslib.for	080101 Adaptive Agents and Intelligent Robotics	en_US
utslib.for	0806 Information Systems	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Strength - AAI - Advanced Analytics Institute Research Centre
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

© 2014 IEEE. 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.

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http://hdl.handle.net/10453/33776