Abstract | ||
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Linked Open Cube Analytics (LOCA) systems enable the performance of analytics on top of multiple open statistical data (OSD) that reside in disparate portals. We present OSD's potential and highlight the problems hampering its integration and reuse. To overcome these problems, we introduce an approach for OSD integration. The proposed approach capitalizes on the data cube model and linked data tec... |
Year | DOI | Venue |
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2016 | 10.1109/MIS.2016.82 | IEEE Intelligent Systems |
Keywords | Field | DocType |
Unemployment,Data models,Browsers,Nominations and elections,Resource description framework,Data analysis,Government,Statistical analysis,Analytical models,Online services | Data modeling,Data mining,Intelligent decision support system,Data analysis,Computer science,Linked data,Proof of concept,Analytics,Online analytical processing,Data cube | Journal |
Volume | Issue | ISSN |
31 | 5 | 1541-1672 |
Citations | PageRank | References |
5 | 0.68 | 0 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Evangelos Kalampokis | 1 | 199 | 19.11 |
Efthimios Tambouris | 2 | 443 | 52.25 |
Tarabanis Konstantinos | 3 | 958 | 93.27 |