An exploratory SOLAP tool for linked open data
| Autor: | Daniel Farias Batista Leite, Brunna de Sousa Pereira Amorim, Cláudio de Souza Baptista |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Information Systems and Management
Information retrieval Computer science business.industry Online analytical processing 05 social sciences computer.file_format Linked data Data warehouse Management Information Systems Management of Technology and Innovation 0502 economics and business Business intelligence Data analysis SPARQL RDF business Semantic Web computer 050203 business & management |
| Zdroj: | International Journal of Business Information Systems. 31:391 |
| ISSN: | 1746-0980 1746-0972 |
| DOI: | 10.1504/ijbis.2019.10022645 |
| Popis: | Business intelligence (BI) technologies are being successfully applied in data analytics, including in the use of spatial data. The advent of the semantic web brought semantically rich and semi-structured data formats, such as resource description framework (RDF), which are external to the BI infrastructure. The integration of both conventional and semantic web data into a BI system results in a new category of analytical tools called exploratory OLAP. We extend exploratory OLAP with spatial capabilities, providing an exploratory SOLAP, called ExpSOLAP. ExpSOLAP is the first analytical tool that integrates semantic, spatial, semi-structured data with traditional spatial, structured data sources. Additionally, SOLAP queries can be posed in both data sources. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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