Semantically Query All (Squerall): A Scalable Framework to Analyze Data from Heterogeneous Sources at Different Levels of Granularity

Semantically Query All (Squerall): A Scalable Framework to Analyze Data from Heterogeneous Sources at Different Levels of Granularity

Retracted: After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IJACSA`s Publication Principles. We hereby retract the content of this paper. Reasonable effort should be made to remove all past refere...

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Veröffentlicht in:International journal of advanced computer science & applications 2022, Vol.13 (7)
Hauptverfasser: Hasan, Iqbal, Zaman, Majid, Fayaz, Sheikh Amir, Altaf, Ifra, Butt, Muheet Ahmed, Rizvi, S.A.M
Format: Artikel
Sprache:eng
Schlagworte:
Big Data
Data analysis
Data warehouses
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Zusammenfassung:Retracted: After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IJACSA`s Publication Principles. We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
ISSN:2158-107X
2156-5570
DOI:10.14569/IJACSA.2022.0130718