Abstract: 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.

Iqbal Hasan, Majid Zaman, Sheikh Amir Fayaz, Ifra Altaf, Muheet Ahmed Butt and S.A.M Rizvi, “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(IJACSA), 13(7), 2022. http://dx.doi.org/10.14569/IJACSA.2022.0130718

@article{Hasan2022,
title = {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},
doi = {10.14569/IJACSA.2022.0130718},
url = {http://dx.doi.org/10.14569/IJACSA.2022.0130718},
year = {2022},
publisher = {The Science and Information Organization},
volume = {13},
number = {7},
author = {Iqbal Hasan and Majid Zaman and Sheikh Amir Fayaz and Ifra Altaf and Muheet Ahmed Butt and S.A.M Rizvi}
}