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| Title | Multidimensional Big Data Analytics Over Big Web Knowledge Bases: Models, Issues, Research Trends, And A Reference Architecture |
|---|---|
| ID_Doc | 38497 |
| Authors | Cuzzocrea A. |
| Year | 2022 |
| Published | Proceedings - 2022 IEEE 8th International Conference on Multimedia Big Data, BigMM 2022 |
| DOI | http://dx.doi.org/10.1109/BigMM55396.2022.00008 |
| Abstract | This paper focuses the attention on the problem of supporting multidimensional big data analytics tools over Big Web Knowledge Bases. These big data repositories are generated from web systems built on top of big datasets, as in several real-life examples such as web interfaces to social networks, e-government systems, smart city tools (e.g., for weather forecasting), and so forth. The problem of extracting actionable knowledge insights from big web knowledge bases is a relevant challenge at now. In line with this emerging research field, the paper proposes models, issues and research trends in the context of multidimensional big data analytics over big web knowledge bases, along with a reference architecture that impersonates this paradigm. © 2022 IEEE. |
| Author Keywords | BI; Big Data; Big Data Analytics; Big Data Analytics Systems; Big Data Management; Big OLAP Data Cubes; Big Web Knowledge Bases; Multidimensional Big Data Analytics; OLAP |
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