AI natural language in meta-synthetics of Al-Qur'an

The Al-Qur'an (or the Koran) of the Islamic religion was transcribed into its original text in Arabic and in lithographic forms called the Mushaf. The Mushaf of Al-Uthmani has become the Quranic standard lithograph. In the world of the Internet, the Mushaf can be distorted, amended and disfigured in ways that could destroy the authenticity of the Al-Qur'an. The challenge is to create meta-forms of the lithographic text as a codified inference in the form of an AI natural language so that it can be used to check intelligently any Quranic texts on the Internet. A natural approach is proposed, deduced from previous works of Muslim scholars, to produce the meta-forms of the Al-Qur'an. The protection of the Al-Qur'an on the Net is demonstrated by an algorithm which is able to compare the captured Quranic texts on the Net with the Quranic meta-synthetics. The state of the art in AI allows such Quranic meta-codification to be performed and such formal representations to be processed. The prototypes developed are only restricted to certain semantic domains. The next stage of enhancing the atomization is a challenge in the calligraphic, image and security domains.