Difference between revisions of "About"

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==== [https://www.linkedin.com/in/sophivorus/ Felipe Schenone] ====
 
==== [https://www.linkedin.com/in/sophivorus/ Felipe Schenone] ====
 
==== [https://www.linkedin.com/in/karuna-saxena-406495153/ Karuna Saxena] ====
 
==== [https://www.linkedin.com/in/karuna-saxena-406495153/ Karuna Saxena] ====
 
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==== [https://www.linkedin.com/in/%D0%BF%D0%B0%D0%B2%D0%B5%D0%BB-%D0%B0%D1%81%D1%82%D0%B0%D1%85%D0%BE%D0%B2-5a013089/  Pavel Astakhov]
  
 
=== Translation and Editing Team ===
 
=== Translation and Editing Team ===

Revision as of 06:08, 22 April 2018

About HODHOOD ISLAMIC ENCYCLOPEDIA

HodHood Project is a team effort initiated and maintained by AlHuda University in Houston, Texas. The project will build and maintain a platform for all Islamic Sciences, in as many languages as possible or there are authentic relevant material. At the early stage it will form a container for all written or published books, and eventually grow the project to translate contents.

Credit

listed below are all software and resources used in this web site. pls. let us know if we have violated the copy write or license information of any product.

Contents

Tanzil Project

Tanzil is a Quranic project launched in early 2007 to produce a highly verified Unicode Quran text to be used in Quranic websites and applications. Our mission in the Tanzil project is to produce a standard Unicode Quran text and serve as a reliable source for this standard text on the web. Tanzil Project The Following Text is a requirement of using the Tanzil.project resources.

This quran text is distributed under the terms of a Creative Commons Attribution 3.0 License.

Permission is granted to copy and distribute verbatim copies of this text, but CHANGING IT IS NOT ALLOWED.

This quran text can be used in any website or application, provided its source (Tanzil.net) is clearly indicated, and a link is made to http://tanzil.net to enable users to keep track of changes.

This copyright notice shall be included in all verbatim copies of the text, and shall be reproduced appropriately in all files derived from or containing substantial portion of this text.

Sunnah.com

The goal of this website is to provide the first online, authentic, searchable, and multilingual (English/Arabic at the individual hadith level) database of collections of hadith from our beloved Prophet Muhammad, peace and blessings be upon him.


Data Mining Tools

Data Mining

The information in this site was produced using mining, Data mining is the process of discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems. The following tools were used for data mining

The R Project for Statistical Computing

R is a free software environment for statistical computing and graphics. It compiles and runs on a wide variety of UNIX platforms, Windows and MacOS.

r Studio

RStudio is an active member of the R community. We believe free and open source data analysis software is a foundation for innovative and important work in science, education, and industry. The many customers who value our professional software capabilities help us contribute to this community.

r Shiny

Shiny is an R package that makes it easy to build interactive web apps straight from R. You can host standalone apps on a webpage or embed them in R Markdown documents or build dashboards. You can also extend your Shiny apps with CSS themes, htmlwidgets, and JavaScript actions.


Stanford CoreNLP – Natural language software

Stanford CoreNLP provides a set of human language technology tools. It can give the base forms of words, their parts of speech, whether they are names of companies, people, etc., normalize dates, times, and numeric quantities, mark up the structure of sentences in terms of phrases and syntactic dependencies, indicate which noun phrases refer to the same entities, indicate sentiment, extract particular or open-class relations between entity mentions, get the quotes people said, etc.

isri stemmer

The Information Science Research Institute’s (ISRI) Arabic stemmer shares many features with the Khoja stemmer. However, the main difference is that ISRI stemmer does not use root dictionary. Also, if a root is not found, ISRI stemmer returned normalized form, rather than returning the original unmodified word.


Thanks

we appreciate the contribution of the following professionals.

Web Scrapping

Abdelhak Mitidji

Data Mining Team

Hicham Moad SAFHI

Vladimir Kurnosov

Wikimedia and Presentation Team

Special thanks to

Felipe Schenone

Karuna Saxena

==== Pavel Astakhov

Translation and Editing Team