Abstract
Graph Analytics is a recently emerging field that offers sophisticated mechanisms to model, analyse and visualise data in the form of graphs. Citations and valuable information about various prophets have been quoted in several chapters of the Holy Quran in textual form. In this contribution, we aim to model these citation data and information using a novel graph analytics oriented framework. This paper briefly reports our findings on formulating the proposed model, data collection and empirical analysis.
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Acknowledgment
We would like to thank Al-Masjid an-Nabawi Library (The Prophet’s Mosque, Madinah) for allowing us to access the library during our research visit. We thank the anonymous reviewers and Dr. Bakur Al Abed, Faculty of Quran, Islamic University of Madinah for going through our paper and providing valuable suggestions. We thank the Japan International Cooperation Agency (JICA) for extending their financial support.
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Venkat, I., Zainah Siau, H.N., Saiful Omar, M., Abdullah, S., Alharbi, S. (2021). Graph Analytics to Reason Citations of Prophets in the Holy Quran. In: Suhaili, W.S.H., Siau, N.Z., Omar, S., Phon-Amuaisuk, S. (eds) Computational Intelligence in Information Systems. CIIS 2021. Advances in Intelligent Systems and Computing, vol 1321. Springer, Cham. https://doi.org/10.1007/978-3-030-68133-3_19
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DOI: https://doi.org/10.1007/978-3-030-68133-3_19
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