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. |
Year | DOI | Venue |
---|---|---|
2015 | 10.1145/2837185.2837243 | iiWAS |
Field | DocType | Citations |
Data mining,Web intelligence,Web mining,Semantic Web Stack,Web mapping,Computer science,Data Web,Web modeling,Social Semantic Web,Web service | Conference | 0 |
PageRank | References | Authors |
0.34 | 15 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Alfredo Cuzzocrea | 1 | 1751 | 200.90 |
Guandong Xu | 2 | 84 | 18.83 |
Giorgio Mario Grasso | 3 | 4 | 6.82 |