the paper available on https://arxiv.org/abs/1701.09138

1. HADITH WEB BROWSER VERIFICATION EXTENSION
MAGED M. ELGAZZAR1, A), MOSTAFA ABDULHAMID2, B) , MAHMOUD MOUNEER3, C) AND AYMAN SALAMA4, D)
1,3FACULTY OF ENGINEERING, CAIRO UNIVERSITY, CAIRO, EGYPT
2CAKE SOLUTIONS LTD, LONDON, UNITED KINGDOM
4COMPUTER SCIENCE DIVISION, UNIVERSITY OF NOTTINGHAM MALAYSIA CAMPUS, SELANGOR, MALAYSIA
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2. AGENDA
Introduction.
Problem statement.
Methodology.
Contribution.
Conclusion and future works.
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3. INTRODUCTION
The increasing number of Muslims Internet users.
Fake published data on Social networks.
Increasing awareness in Islamic society using data analytics.
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4. PROBLEM STATEMENT
Sharing unauthentic religious data.
Detecting resources of unauthentic data.
The lack of Islamic datasets for data analytics.
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5. METHODOLOGY
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6. METHODOLOGY
• User request will trigger the remote server to initiate the hadith classification
algorithm.
• The algorithm will process the user highlighted text through the database.
• The result of the database query will be sent back to the user web browser’s
plugin.
• The plugin will provide the user with Hadith classification results through
simple user interface.
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7. METHODOLOGY
• This research conducts the development of a web browser plugin using
Javascript.
• The plugin will automatically trigger remote database queries
• once the web browser user highlights possible Hadith text and initiate the
plugin for Hadith classification
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8. THE PLUGIN IN GOOGLE CHROME STORE
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9. CONCLUSIONS
 Simple web based plugin to check Hadith authentication.
 Storing users search quarries for further analysis.
 Detecting Daaif Hadith resources publisher.
 Searching in Sahih Al-Bukhari, Sahih Muslim in a simple web interface.
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10. FUTURE WORK
 Adding Sunan Abu Dawod, Sunan Al-Termidhi, Sunan Ibn Majah to the DB.
 Measuring the trend analysis with huge datasets.
 Ranking Hadith sources on the internet.
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11. THANK YOU
https://linkedin.com/in/mmjazzar
Fb.com/mmjazzar
mmjazzar@ieee.org
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