Hafidh Alsamarrai, O. Tayan, M. Abbod, Y. Alginahi
A detailed survey was designed to assess the requirements of different organizations, users, product-developers, and funders who are involved in the fields of using systems and software to serve and propagate the Holy Quran and its Sciences. The aim of the survey is to collect, compile, analyze and classify information concerning the advantages and the disadvantages of the currently available tools and software used for teaching and digital propagation of the Holy Quran and its Sciences. The paper shall also examine the potential in product-development opportunities, and product-values for enhancing IT in the service of the Holy Quran. The survey sets out to assess the needs of the different segments of who are involved in using and developing related product-software. The survey is distributed to a large number of users from four main background sectors, namely, users of software/products, software developers, funders and donators, and universities/research centers. The survey results are presented and analyzed, with conclusions drawn presenting the findings made.
{"title":"Requirements Assessment for Organizations, Users, Software Developers, and Funders for the Propagation of the Holy Quran and Its Sciences","authors":"Hafidh Alsamarrai, O. Tayan, M. Abbod, Y. Alginahi","doi":"10.1109/NOORIC.2013.84","DOIUrl":"https://doi.org/10.1109/NOORIC.2013.84","url":null,"abstract":"A detailed survey was designed to assess the requirements of different organizations, users, product-developers, and funders who are involved in the fields of using systems and software to serve and propagate the Holy Quran and its Sciences. The aim of the survey is to collect, compile, analyze and classify information concerning the advantages and the disadvantages of the currently available tools and software used for teaching and digital propagation of the Holy Quran and its Sciences. The paper shall also examine the potential in product-development opportunities, and product-values for enhancing IT in the service of the Holy Quran. The survey sets out to assess the needs of the different segments of who are involved in using and developing related product-software. The survey is distributed to a large number of users from four main background sectors, namely, users of software/products, software developers, funders and donators, and universities/research centers. The survey results are presented and analyzed, with conclusions drawn presenting the findings made.","PeriodicalId":328341,"journal":{"name":"2013 Taibah University International Conference on Advances in Information Technology for the Holy Quran and Its Sciences","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132940718","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
There is a wealth of research and studies related to Quran and its Sciences that are largely not available online. Usually researchers, in these fields, contact relevant and specific organizations for such information, if they become aware that such journals or proceedings are available/exist through those organizations. Therefore, in most cases thousands of research work tend to be shelved and not properly referenced for online use. This is the main reason why many Quran and Islamic related research works and studies are not well cited, and difficult to search or find online. This research paper presents the design concepts of a customized knowledgebase system that would be used as a knowledge management of research and studies in Quran and its related Sciences, named Quran Research Knowledge Base (QKB). The proposed knowledgebase system provides a mean for information to be collected, organized, and shared for the benefit of researchers as well as organizations, and government agencies. The knowledgebase content is categorized based on Quran and its related sciences research papers, conferences, books, post-graduate thesis and publications, web publishing, products, and other materials. The finalized knowledgebase system is integrated with other systems such as eConferences, online journals and other Virtual Learning systems. The methodology and procedures for populating the knowledgebase with authenticated and accurate content, are also presented.
{"title":"Design Concepts of a KnowledgeBase System for Research and Studies in Quran and Its Science","authors":"Amar Arbaoui, M. Menacer, Y. Alginahi","doi":"10.1109/NOORIC.2013.81","DOIUrl":"https://doi.org/10.1109/NOORIC.2013.81","url":null,"abstract":"There is a wealth of research and studies related to Quran and its Sciences that are largely not available online. Usually researchers, in these fields, contact relevant and specific organizations for such information, if they become aware that such journals or proceedings are available/exist through those organizations. Therefore, in most cases thousands of research work tend to be shelved and not properly referenced for online use. This is the main reason why many Quran and Islamic related research works and studies are not well cited, and difficult to search or find online. This research paper presents the design concepts of a customized knowledgebase system that would be used as a knowledge management of research and studies in Quran and its related Sciences, named Quran Research Knowledge Base (QKB). The proposed knowledgebase system provides a mean for information to be collected, organized, and shared for the benefit of researchers as well as organizations, and government agencies. The knowledgebase content is categorized based on Quran and its related sciences research papers, conferences, books, post-graduate thesis and publications, web publishing, products, and other materials. The finalized knowledgebase system is integrated with other systems such as eConferences, online journals and other Virtual Learning systems. The methodology and procedures for populating the knowledgebase with authenticated and accurate content, are also presented.","PeriodicalId":328341,"journal":{"name":"2013 Taibah University International Conference on Advances in Information Technology for the Holy Quran and Its Sciences","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127658125","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Topic modeling refers to extracting topics from text. Topic model is a statistical model whose aim is to discover topics from a large collection of documents. A topic consists of a collection of words that are more likely to be found together in the given context of that topic or theme. This paper applies a topic model to discover the thematic structure of the Quran. For centuries, the Quran has been widely studied for the topics it contains and the relationships among them. The Holy Quran is a treasure of tremendous amount of information that addresses various aspects of human life, social as well as individual. The information present in the Quran relates in a conceptual manner although its individual bits may look unstructured and scattered. This paper attempts to use a computational method to identify this hidden thematic structure automatically. We considered each surah in the Quran as a document and used Latent Dirichlet Allocation, a probabilistic topic modeling algorithm, to discover the topics/themes. The Arabic Quran was used as the corpus instead of transliteration or translation. Our results are very promising and we were able to discover the major themes in the surahs, along with the most important terms that describe these themes.
{"title":"Discovering the Thematic Structure of the Quran using Probabilistic Topic Model","authors":"M. Siddiqui, Syed Muhammad Faraz, S. A. Sattar","doi":"10.1109/NOORIC.2013.55","DOIUrl":"https://doi.org/10.1109/NOORIC.2013.55","url":null,"abstract":"Topic modeling refers to extracting topics from text. Topic model is a statistical model whose aim is to discover topics from a large collection of documents. A topic consists of a collection of words that are more likely to be found together in the given context of that topic or theme. This paper applies a topic model to discover the thematic structure of the Quran. For centuries, the Quran has been widely studied for the topics it contains and the relationships among them. The Holy Quran is a treasure of tremendous amount of information that addresses various aspects of human life, social as well as individual. The information present in the Quran relates in a conceptual manner although its individual bits may look unstructured and scattered. This paper attempts to use a computational method to identify this hidden thematic structure automatically. We considered each surah in the Quran as a document and used Latent Dirichlet Allocation, a probabilistic topic modeling algorithm, to discover the topics/themes. The Arabic Quran was used as the corpus instead of transliteration or translation. Our results are very promising and we were able to discover the major themes in the surahs, along with the most important terms that describe these themes.","PeriodicalId":328341,"journal":{"name":"2013 Taibah University International Conference on Advances in Information Technology for the Holy Quran and Its Sciences","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131092724","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
There are many Arabic websites contain phrases from the Quran. Regrettably, the Quran texts appeared in a majority of websites were suffering from many mistakes and typos. Hence, finding the correct form of Quran verses has become almost impossible without referring to a verified printed manuscript. Therefore, it is important for many web users to verify the Quran words they read on a website. In this paper, we propose a real-time interactive verification of Quran phrases from web against the famous referenced recital of Hafs. We implement a web service for web browsers, which incorporates efficient search algorithms within a customized user interface that supports interactive verification of the highlighted words in the Quran with/without diacritic marks. It uses algorithms of Arabic Natural Language Processing (NLP) for tokenization. It also uses an approach for segmenting search words to make a verification match. The famous referenced recital of Hafs from Asim has been developed in a database to be searched. Experimental results demonstrate the success of the system for the samples taken to verify Arabic words with/without the diacritics in the Quran. The system can be considered an accreditation of the digital contents of the Quran on the web.
{"title":"Real-Time Interactive Verification of Quran Words in the Web Contents","authors":"T. El-Sakka","doi":"10.1109/NOORIC.2013.15","DOIUrl":"https://doi.org/10.1109/NOORIC.2013.15","url":null,"abstract":"There are many Arabic websites contain phrases from the Quran. Regrettably, the Quran texts appeared in a majority of websites were suffering from many mistakes and typos. Hence, finding the correct form of Quran verses has become almost impossible without referring to a verified printed manuscript. Therefore, it is important for many web users to verify the Quran words they read on a website. In this paper, we propose a real-time interactive verification of Quran phrases from web against the famous referenced recital of Hafs. We implement a web service for web browsers, which incorporates efficient search algorithms within a customized user interface that supports interactive verification of the highlighted words in the Quran with/without diacritic marks. It uses algorithms of Arabic Natural Language Processing (NLP) for tokenization. It also uses an approach for segmenting search words to make a verification match. The famous referenced recital of Hafs from Asim has been developed in a database to be searched. Experimental results demonstrate the success of the system for the samples taken to verify Arabic words with/without the diacritics in the Quran. The system can be considered an accreditation of the digital contents of the Quran on the web.","PeriodicalId":328341,"journal":{"name":"2013 Taibah University International Conference on Advances in Information Technology for the Holy Quran and Its Sciences","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126358785","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The ability to control data and information through the Internet can be challenging. Preliminary analysis showed that some literal modification may occur to some words of the Quran in the electronic versions that span the Internet. Such small modifications may not be noticed by public audience. The holly book of Quran includes a unique feature in that its worldwide copies are all identically similar. The 114 Suras and all verses and words in them are preserved in the exact form. As such, we designed and evaluated a model and a tool to preserve the integrity of the wording in the Quran through generating a Meta data related to all letters in the Quran preserving the counts and locations. Such data can be used eventually in the same way CRC or hash algorithms are used in security to check the integrity of a disk and its data file where any small change in the data will result in a different hash value. We conducted several experiments to evaluate the different parameters and challenges that can impact the automatic authentication process of Quranic verses based on information retrieval and hashing algorithms.
{"title":"Techniques to Preserve the Integrity of the Electronic Versions of the Nobel Quran","authors":"I. Alsmadi","doi":"10.1109/NOORIC.2013.22","DOIUrl":"https://doi.org/10.1109/NOORIC.2013.22","url":null,"abstract":"The ability to control data and information through the Internet can be challenging. Preliminary analysis showed that some literal modification may occur to some words of the Quran in the electronic versions that span the Internet. Such small modifications may not be noticed by public audience. The holly book of Quran includes a unique feature in that its worldwide copies are all identically similar. The 114 Suras and all verses and words in them are preserved in the exact form. As such, we designed and evaluated a model and a tool to preserve the integrity of the wording in the Quran through generating a Meta data related to all letters in the Quran preserving the counts and locations. Such data can be used eventually in the same way CRC or hash algorithms are used in security to check the integrity of a disk and its data file where any small change in the data will result in a different hash value. We conducted several experiments to evaluate the different parameters and challenges that can impact the automatic authentication process of Quranic verses based on information retrieval and hashing algorithms.","PeriodicalId":328341,"journal":{"name":"2013 Taibah University International Conference on Advances in Information Technology for the Holy Quran and Its Sciences","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115959234","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The key idea behind active learning is that if the learning method is allowed to choose the data to learn from, the amount of data needed for the training phase can be significantly reduced. Thus, the cost of manual annotating the data will be less, and the process of learning can be accelerated. Most of the studies on applying active learning methods to automatic text classification focused on requesting the label of a single unlabeled document in each iteration. Unlike English, There are very few researches done in this area for the Arabic text. In this paper, we present a novel active learning method for Arabic text classification using multi-class SVM. The proposed method selects a batch of informative samples for manually labeling by an expert. The experimental results show that employing our method can significantly reduce the need for labeled training data.
{"title":"Using Active Learning in Text Classification of Quranic Sciences","authors":"Mohamed Goudjil, M. Bedda, M. Koudil, N. Ghoggali","doi":"10.1109/NOORIC.2013.51","DOIUrl":"https://doi.org/10.1109/NOORIC.2013.51","url":null,"abstract":"The key idea behind active learning is that if the learning method is allowed to choose the data to learn from, the amount of data needed for the training phase can be significantly reduced. Thus, the cost of manual annotating the data will be less, and the process of learning can be accelerated. Most of the studies on applying active learning methods to automatic text classification focused on requesting the label of a single unlabeled document in each iteration. Unlike English, There are very few researches done in this area for the Arabic text. In this paper, we present a novel active learning method for Arabic text classification using multi-class SVM. The proposed method selects a batch of informative samples for manually labeling by an expert. The experimental results show that employing our method can significantly reduce the need for labeled training data.","PeriodicalId":328341,"journal":{"name":"2013 Taibah University International Conference on Advances in Information Technology for the Holy Quran and Its Sciences","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121020277","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Quran applications include image/video processing, voice recognition, encrypting/decrypting data, etc., which are based on data parallelism. These applications are characterized by structured and regular computations on large data sets. In this paper, new processor architecture called QrnPro is proposed to accelerate Quran applications. QrnPro exploits data parallelism found in Quran applications by adding the vector processing technique to VLIW architecture. QrnPro uses VLIW architecture for processing multiple independent scalar instructions concurrently on parallel execution units. Moreover, data parallelism is expressed by vector instructions and processed on the same parallel execution units of the VLIW architecture. This combination between VLIW and vector processing makes efficient exploitation of resources even though the percentage of data parallelism is not 100%. Instruction memory of size 256×128-bit stores scalar/vector instructions of Quran applications in the form of 128-bit VLIW. A single register file (8-vector×16-element×32-bit or 128×32-bit registers) is used for storing both multi-scalar/vector elements. The control unit feeds the parallel execution units by the required operands (multi-scalar/vector elements) and can produce up to 4×32-bit results each clock cycle. Scalar/vector loads/stores take place from/to the data memory (512×128-bit) of QrnPro in a rate of 128-bit (4×32-bit elements) per clock cycle. Finally, the writeback stage writes up to four results (4×32-bit) per clock cycle coming from the memory system or from the execution units into the QrnPro register file. The design of our proposed QrnPro is implemented using VHDL targeting the Xilinx FPGA Virtex-5, XC5VLX110T-3FF1136 device and its performance is evaluated.
{"title":"QrnPro: New Processor Architecture for Accelerating Quran Applications","authors":"M. Soliman","doi":"10.1109/NOORIC.2013.89","DOIUrl":"https://doi.org/10.1109/NOORIC.2013.89","url":null,"abstract":"Quran applications include image/video processing, voice recognition, encrypting/decrypting data, etc., which are based on data parallelism. These applications are characterized by structured and regular computations on large data sets. In this paper, new processor architecture called QrnPro is proposed to accelerate Quran applications. QrnPro exploits data parallelism found in Quran applications by adding the vector processing technique to VLIW architecture. QrnPro uses VLIW architecture for processing multiple independent scalar instructions concurrently on parallel execution units. Moreover, data parallelism is expressed by vector instructions and processed on the same parallel execution units of the VLIW architecture. This combination between VLIW and vector processing makes efficient exploitation of resources even though the percentage of data parallelism is not 100%. Instruction memory of size 256×128-bit stores scalar/vector instructions of Quran applications in the form of 128-bit VLIW. A single register file (8-vector×16-element×32-bit or 128×32-bit registers) is used for storing both multi-scalar/vector elements. The control unit feeds the parallel execution units by the required operands (multi-scalar/vector elements) and can produce up to 4×32-bit results each clock cycle. Scalar/vector loads/stores take place from/to the data memory (512×128-bit) of QrnPro in a rate of 128-bit (4×32-bit elements) per clock cycle. Finally, the writeback stage writes up to four results (4×32-bit) per clock cycle coming from the memory system or from the execution units into the QrnPro register file. The design of our proposed QrnPro is implemented using VHDL targeting the Xilinx FPGA Virtex-5, XC5VLX110T-3FF1136 device and its performance is evaluated.","PeriodicalId":328341,"journal":{"name":"2013 Taibah University International Conference on Advances in Information Technology for the Holy Quran and Its Sciences","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127692594","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. H. Ragab, Amin Y. Noaman, Hassan Samir Al-Najjar
This paper presents the design and implementation of an adaptive e-learning web-site based on multi-media, to support the teaching of scientific encyclopedias for miracles in the Holy Quran . It depends on the use of adaptive e-learning systems and multimedia technologies in order to build an interactive intelligent elearning system, that assist students in improving their level of education. This included the use of adaptive navigation technology, and adaptive presentation technology, to assist the student in finding the best educational path suitable to his educational level, as well as to adapt content of the course according to his educational level of knowledge and his learning style. The advantage of the proposed web site boasts a multi-level system tests, innovative features for the possibility of measuring the extent to which the student get benefits from the site, which includes multiple-choice questions, and the possibility to know the correct answer. The student can move from one level of education to a higher level automatically, after achieving required passing score in the test. The proposed educational site includes Arabic and English, and has a database to record students; the library also contains many scenes video of the scientific miracles of the Qur'an, which included various aspects of science. The performance of the proposed system has been evaluated. Results confirmed that the use of computerized multimedia and Internet techniques in adaptive education systems leads to raise the level of achievement and skills of the students, compared to the systems of traditional education on other websites.
{"title":"Web Based Multimedia Adaptive e-Learning System for Teach Miracles of the Holy Quran","authors":"A. H. Ragab, Amin Y. Noaman, Hassan Samir Al-Najjar","doi":"10.1109/NOORIC.2013.96","DOIUrl":"https://doi.org/10.1109/NOORIC.2013.96","url":null,"abstract":"This paper presents the design and implementation of an adaptive e-learning web-site based on multi-media, to support the teaching of scientific encyclopedias for miracles in the Holy Quran . It depends on the use of adaptive e-learning systems and multimedia technologies in order to build an interactive intelligent elearning system, that assist students in improving their level of education. This included the use of adaptive navigation technology, and adaptive presentation technology, to assist the student in finding the best educational path suitable to his educational level, as well as to adapt content of the course according to his educational level of knowledge and his learning style. The advantage of the proposed web site boasts a multi-level system tests, innovative features for the possibility of measuring the extent to which the student get benefits from the site, which includes multiple-choice questions, and the possibility to know the correct answer. The student can move from one level of education to a higher level automatically, after achieving required passing score in the test. The proposed educational site includes Arabic and English, and has a database to record students; the library also contains many scenes video of the scientific miracles of the Qur'an, which included various aspects of science. The performance of the proposed system has been evaluated. Results confirmed that the use of computerized multimedia and Internet techniques in adaptive education systems leads to raise the level of achievement and skills of the students, compared to the systems of traditional education on other websites.","PeriodicalId":328341,"journal":{"name":"2013 Taibah University International Conference on Advances in Information Technology for the Holy Quran and Its Sciences","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127928871","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In many national libraries and archive centers, most of Islamic Manuscripts are still in their initial form and not digitized yet. These documents are indeed very rich in knowledge and constitute a part of the heritage of Muslims. The main reasons behind the digitization of these Islamic Manuscripts are, consequently and at least, to enhance and ease their accessibility by people who are interesting in order to exploit the corresponding knowledge and to improve their durability. Such a mission is not yet easy to achieve because of the weaknesses of the existing approaches and algorithms. Indeed, several researchers around the world have proposed a variety of approaches, algorithms and techniques in order to build a powerful system able to digitize such documents. Unfortunately, these efforts didn't succeed since they realized that such problem cannot be solved without the integration and cooperation of several strong complementary approaches, algorithms and techniques at the same time. But, such an idea and a system requires at the same time the knowledge of the good complementary approaches, algorithms and techniques which can lead to an acceptable recognition rate of the Arabic handwriting in one hand, and the adequate hardware infrastructure which can host such complex and greedy software to achieve the mission in a reasonable time on the other hand. Our idea consists on: in the first hand, to consider cloud computing as an infrastructure (IaaS) to deploy our combination of algorithms K-NN/SVM for Arabic Islamic Manuscripts Recognition System AIMRS. In the second hand, to consider cloud Storage as a Service (SaaS) to store and retrieve large amounts of Arabic Islamic Manuscripts. Our approach provides indeed an adequate platform for the expected powerful digitization system based on the integration and cooperation of some strong complementary approaches. In addition, our approach offers a number of benefits, such as the ability to store and retrieve large amounts of Islamic Manuscripts, the fast processing, the fast data access, and the unlimited storage.
{"title":"Arabic Islamic Manuscripts Digitization Based on Hybrid K-NN/SVM Approach and Cloud Computing Technologies","authors":"Hamdi Hassen, Maher Khemakhem","doi":"10.1109/NOORIC.2013.77","DOIUrl":"https://doi.org/10.1109/NOORIC.2013.77","url":null,"abstract":"In many national libraries and archive centers, most of Islamic Manuscripts are still in their initial form and not digitized yet. These documents are indeed very rich in knowledge and constitute a part of the heritage of Muslims. The main reasons behind the digitization of these Islamic Manuscripts are, consequently and at least, to enhance and ease their accessibility by people who are interesting in order to exploit the corresponding knowledge and to improve their durability. Such a mission is not yet easy to achieve because of the weaknesses of the existing approaches and algorithms. Indeed, several researchers around the world have proposed a variety of approaches, algorithms and techniques in order to build a powerful system able to digitize such documents. Unfortunately, these efforts didn't succeed since they realized that such problem cannot be solved without the integration and cooperation of several strong complementary approaches, algorithms and techniques at the same time. But, such an idea and a system requires at the same time the knowledge of the good complementary approaches, algorithms and techniques which can lead to an acceptable recognition rate of the Arabic handwriting in one hand, and the adequate hardware infrastructure which can host such complex and greedy software to achieve the mission in a reasonable time on the other hand. Our idea consists on: in the first hand, to consider cloud computing as an infrastructure (IaaS) to deploy our combination of algorithms K-NN/SVM for Arabic Islamic Manuscripts Recognition System AIMRS. In the second hand, to consider cloud Storage as a Service (SaaS) to store and retrieve large amounts of Arabic Islamic Manuscripts. Our approach provides indeed an adequate platform for the expected powerful digitization system based on the integration and cooperation of some strong complementary approaches. In addition, our approach offers a number of benefits, such as the ability to store and retrieve large amounts of Islamic Manuscripts, the fast processing, the fast data access, and the unlimited storage.","PeriodicalId":328341,"journal":{"name":"2013 Taibah University International Conference on Advances in Information Technology for the Holy Quran and Its Sciences","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134496862","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nur Ramizah Ramino Rashid, Ibrahim Venkat, F. Damanhoori, Norlia Mustaffa, W. Husain, A. T. Khader
The traditional way of learning how to recite Holy Quran is through a method called Talaqqi Musyafahah where students learn face to face from a qualified Quran teacher. As students have limited sessions with Quran teachers, they resort to Computer Aided Learning (CAL) methods to further enhance their quality of recitations. Unfortunately existing applications that aid in CAL don't provide any feedback mechanisms in terms of ratings/scores about the quality of recitations to end users. The benefits of such feedback mechanisms are quite vital to learners of Holy Quran to improve their learning process stage by stage. Till date, the problem of automating evaluation of Holy Quran recitations using computational techniques remains as a open challenge to researchers. In this research we would investigate this potential problem in brief, propose a basic framework based on a pattern recognition perspective to address the problem and report our preliminary results.
{"title":"Towards Automating the Evaluation of Holy Quran Recitations: A Pattern Recognition Perspective","authors":"Nur Ramizah Ramino Rashid, Ibrahim Venkat, F. Damanhoori, Norlia Mustaffa, W. Husain, A. T. Khader","doi":"10.1109/NOORIC.2013.88","DOIUrl":"https://doi.org/10.1109/NOORIC.2013.88","url":null,"abstract":"The traditional way of learning how to recite Holy Quran is through a method called Talaqqi Musyafahah where students learn face to face from a qualified Quran teacher. As students have limited sessions with Quran teachers, they resort to Computer Aided Learning (CAL) methods to further enhance their quality of recitations. Unfortunately existing applications that aid in CAL don't provide any feedback mechanisms in terms of ratings/scores about the quality of recitations to end users. The benefits of such feedback mechanisms are quite vital to learners of Holy Quran to improve their learning process stage by stage. Till date, the problem of automating evaluation of Holy Quran recitations using computational techniques remains as a open challenge to researchers. In this research we would investigate this potential problem in brief, propose a basic framework based on a pattern recognition perspective to address the problem and report our preliminary results.","PeriodicalId":328341,"journal":{"name":"2013 Taibah University International Conference on Advances in Information Technology for the Holy Quran and Its Sciences","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114471840","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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