towards a time based video search engine for al quran interpretation,
TRANSCRIPT
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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, EGYPT2CAKE SOLUTIONS LTD, LONDON, UNITED KINGDOM
4COMPUTER SCIENCE DIVISION, UNIVERSITY OF NOTTINGHAM MALAYSIA CAMPUS, SELANGOR, MALAYSIA
12/6/2016
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AGENDA
Introduction.Problem statement.Methodology.Contribution.Conclusion and future works.
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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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PROBLEM STATEMENT
Sharing unauthentic religious data.
Detecting resources of unauthentic data.
The lack of Islamic datasets for data analytics.
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METHODOLOGY
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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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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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THE PLUGIN IN GOOGLE CHROME STORE
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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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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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