Towards a Database Oriented Research in Hadith using Relational Algorithimic and Data Warehousing Techniques
Extensive effort is being exerted in making available Hadith literature in a computerized form and its wide dissemination using web and other media. The effort is currently focused on enabling pre-specified indexing and searches. There is now an increasing effort to tag specific categories of wor...
Main Authors: | , |
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Format: | Article |
Language: | Arabic |
Published: |
Sheikh Zayed Islamic Centre University of Karachi
2018-12-01
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Series: | The Islamic Culture |
Online Access: | http://theislamicculture.com/index.php/tis/article/view/170 |
Summary: | Extensive effort is being exerted in making available Hadith literature in a computerized form and its wide dissemination using web and other media. The effort is currently focused on enabling pre-specified indexing and searches. There is now an increasing effort to tag specific categories of words in the text with definitions and tables enabling more intelligent searches. However, these database-oriented efforts still do not expose the database design for research and exploration through established computer science technologies such as algorithmic searches and relational querying.
This paper presents the results of our research to define a graph theoretic representation of the chain of narrators of Hadiths and an aligned database structure suitable for storing THE B`IOGRAPHICAL DATA OF THE narrator and other historical events. Thesis of this paper is that the user of this computer science concepts for algorithmic research, data base queries, data-ware house sand use of advance data mining techniques greatly assists hadhith research and research in islamic history and literature. it would make available our best hadith literature in a fomat amenable for cross verification and analysis in a computationally feasible manner certain classes of analysis that were considered in intractable earlier may become feasible using current technologies.
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ISSN: | 1813-775X 2663-1709 |