RETRACTED: Semantically Query All (Squerall): A Scalable Framework to Analyze Data from Heterogeneous Sources at Different Levels of Granularity
DOI: https://doi.org/10.14569/IJACSA.2022.0130718
Abstract
Keywords
How to Cite this Article
Hasan, I., Zaman, M., Fayaz, S. A., Altaf, I., Butt, M. A., & Rizvi, S. (2022). RETRACTED: Semantically Query All (Squerall): A Scalable Framework to Analyze Data from Heterogeneous Sources at Different Levels of Granularity. International Journal of Advanced Computer Science and Applications, 13(7). https://doi.org/10.14569/IJACSA.2022.0130718
Hasan, Iqbal, et al.. "RETRACTED: Semantically Query All (Squerall): A Scalable Framework to Analyze Data from Heterogeneous Sources at Different Levels of Granularity." International Journal of Advanced Computer Science and Applications, vol. 13, no. 7, 2022, https://doi.org/10.14569/IJACSA.2022.0130718.
@article{Hasan2022,
title = {RETRACTED: Semantically Query All (Squerall): A Scalable Framework to Analyze Data from Heterogeneous Sources at Different Levels of Granularity},
journal = {International Journal of Advanced Computer Science and Applications},
volume = {13},
number = {7},
year = {2022},
publisher = {The Science and Information Organization},
author = {Iqbal Hasan and Majid Zaman and Sheikh Amir Fayaz and Ifra Altaf and Muheet Ahmed Butt and S.A.M Rizvi},
doi = {10.14569/IJACSA.2022.0130718},
url = {https://doi.org/10.14569/IJACSA.2022.0130718}
}
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