Corpus ID: 55906105

STRATEGIES FOR COLLECTING ELECTRONIC RESOURCES ON THE QUR'ANIC RESEARCHES

@inproceedings{Arbaoui2013STRATEGIESFC,
  title={STRATEGIES FOR COLLECTING ELECTRONIC RESOURCES ON THE QUR'ANIC RESEARCHES},
  author={Amar Arbaoui and Yasser M. Alginahi and Mohamed Menacer},
  year={2013}
}
Electronic dissemination of digital information has benefited from recent advancements in Information and Communication Technologies (ICTs) and dissemination of Islamic digital content in different formats has taken advantage of this rapid progress in technology. Information is available in many formats and on many different applications and devices. However, the online availability of such resources on Qur’an and its sciences is very limited. In this work, digital Qur’an resources available… Expand
ejum.fsktm.um.edu.my
4 Citations
Background Citations
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4 Citations

Citation Type

Citation Type

Islamic Resources Big Data mining , Extraction and Archiving
Big data technologies is an evolving term that describes the variety of techniques for searching, collecting, processing, analysing, and storing a large amount of structured, semi-structured and… Expand
Hybrid Search Approach for Retrieving Medical and Health Science Knowledge from Quran
TLDR
A hybrid search tool was developed that encompassed semantic-based and keyword based technique to answer a user query and was evaluated using the Recall and Precision measurements, which shows high accuracy in retrieving the Medical and Health Science knowledge in the Quran. Expand
Query cost-reduction for Quranic-Arabic information retrieval using hexadecimal conversion algorithm
TLDR
This machine language approach in representing Digital Quran reduces the size of storage around 47-54% and retrieval time up to 20% hence reduce the query cost for Arabic information retrieval in general. Expand
Quranic Cross-Lingual Information Retrieval Optimization using Hexadecimal Conversion Algorithm
TLDR
The Quranic Cross-Lingual Information Retrieval (Q-CLIR) model and Hexadecimal Conversion Algorithm are proposed and it is hypothesized that the higher the reduction of space usage, the faster the retrieval time of CLIR. Expand

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