Abstract
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 language | English |
|---|---|
| Title of host publication | Proceedings of the 17th International Conference on Information Integration and Web-based Applications & Services |
| Place of Publication | New York |
| Publisher | Association for Computing Machinery |
| ISBN (Electronic) | 9781450334914 |
| DOIs | |
| Publication status | Published - Dec 2015 |
Citation
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/10.1145/2837185.2837243Keywords
- Web search
- OLAP-enabled web search
- Complex object searching
- Advanced mining applications
- Intelligent systems