OLAP-enabled web search of complex objects

Cuzzocrea, A; Xu, G; Grasso, GM

OLAP-enabled web search of complex objects

Cuzzocrea, A Xu, G

Grasso, GM

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Publication Type:: Conference Proceeding
Citation:: 17th International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2015 - Proceedings, 2015
Issue Date:: 2015-12-11

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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.contributor.author	Grasso, GM	en_US
dc.date.issued	2015-12-11	en_US
dc.identifier.citation	17th International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2015 - Proceedings, 2015	en_US
dc.identifier.isbn	9781450334914	en_US
dc.identifier.uri	http://hdl.handle.net/10453/106625
dc.description.abstract	© 2015 ACM. 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.	en_US
dc.relation.ispartof	17th International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2015 - Proceedings	en_US
dc.relation.isbasedon	10.1145/2837185.2837243	en_US
dc.title	OLAP-enabled web search of complex objects	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:

© 2015 ACM. 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.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/106625