Name
Abstract | ||
|---|---|---|
Traditionally, OLAP tools have been performed on static and structured data sources. Nowadays, there is plenty of data in different formats, such as the Resource Description Framework (RDF), a semi-structured and semantically-rich format external to the BI infrastructure. Although such data formats are enriched by semantics, performing data analysis is challenging. As a result, the Exploratory OLAP field has emerged for discovery, acquisition, integration and querying such data, aiming at performing a complete and effective analysis on both internal and external data. In this paper, we propose an innovative Exploratory OLAP approach that integrates on the fly semantic semi-structured and structured data sources. |
Year | Venue | Keywords |
|---|---|---|
2016 | 2016 IEEE/ACS 13TH INTERNATIONAL CONFERENCE OF COMPUTER SYSTEMS AND APPLICATIONS (AICCSA) | Business Intelligence, Exploratory OLAP, Semantic Web, Ontology, Linked Data |
Field | DocType | ISSN |
Data structure,Information retrieval,Computer science,Linked data,Semantic Web,Business intelligence,Online analytical processing,Data model,RDF,Semantics | Conference | 2161-5322 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Daniel Farias Batista Leite | 1 | 3 | 1.73 |
| Cláudio de Souza Baptista | 2 | 133 | 31.73 |
| Maxwell Guimarães de Oliveira | 3 | 24 | 7.15 |
| José Amilton Moura Acioli Filho | 4 | 4 | 1.54 |
| Tiago Eduardo da Silva | 5 | 3 | 1.43 |