• Corpus ID: 18180767

Islamic Resources Big Data mining , Extraction and Archiving

@inproceedings{Menacer2014IslamicRB,
  title={Islamic Resources Big Data mining , Extraction and Archiving},
  author={Mohamed Menacer and Abderahmane Menacer and Amar Arbaoui},
  year={2014}
}

• M. Menacer, A. Menacer, Amar Arbaoui
• Published 2014
• Computer Science

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 unstructured data that can be mined for information. This is certainly the case for Islamic resources and materials that are widely available as structured, mainly unstructured and unrelated information on the web, this can be referred to as Islamic big data. The aim of this paper is to present the work that has been carried out to search, extract and collect related Islamicinfo on a big data scale that are relevant to our study, after due copyright issues are dealt with and permissions are sought, if any. The findings would be madeavailalble as structured and related info which is of benefit to the relevant audience in a form of knowledgebase, searchable resources, as well as a source for analytical, qualitative, and quantitative analysis of Islamic web resources in general. Semi-automatic search and auto-extraction techniques that have been used in this study will be presented as well as preliminary results. This work is funded by NOOR Research Centre, Madinah-Saudi Arabia, where its main focus is on IT development for Quran and Islamic Sciences.