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Applicability of Data Mining Techniques and Algorithmic Research to the Science of Hadith

Yıl 2021, Sayı: 44, 461 - 474, 20.09.2021
https://doi.org/10.37697/eskiyeni.960636

Öz

In this digital age, the presence of information is felt more and more day by day. When this information circulating in the digital environment is processed and transformed into a high-quality form, it will be able to serve for the developing technology age. At this point, data mining methods and algorithmic research that process large amounts of information come into play. Data mining is one of the technologies that is applied and will might be utilized in many fields including natural and social sciences. Such studies, which appear in many scientific disciplines, have also been carried out in the field of hadith, especially within the last twenty years. In this study, the most cited scientific articles that apply data mining methods and algorithmic research to the science of hadith in the world were examined. The studies carried out so far have focused on the the text of the hadith, its rawi (narrator), its authenticity or its use in the web environment. Some of these studies aim to classify the hadiths according to their subjects in general and to create hadith dictionaries in particular. On the other hand, there are studies to systematize the authenticity of the hadith by formulating the chain of narrators and the authentic hadith. In addition there are some studies that evaluate narrators by creating social network graphics. These researches offer the opportunity to present the data in the hadith in a computable and objective way by structuring, as in the sciences. In fact, the hadith scholars (muhaddiths), who aimed to prevent the oblivion and destruction of the sunnah centuries ago, tried to measure and evaluate the knowledge they had acquired on the hadith. From these muhaddiths, we have received some subjective, which are sometimes agreed upon, and sometimes individual evaluations about both the rawi and the text of the hadith. At this point, data mining techniques and algorithmic research will sometimes turn interpretation-based and repetitive information into concrete data. Another opportunity offered by these studies is that the people who access the hadith text from the digital environment gain the awareness of obtaining information about the content of the hadith data. As a matter of fact, as seen in some studies, anti-hadith websites are frequently visited by students who want to learn about hadith. For this reason, managing the information sources that the public reaches will help to solve many social and political problems arising from the wrong perception of religion. The aim of this work is to introduce data mining and algorithmic research to scholars in the field of hadith in Turkey and to use these techniques together with the science of hadith to enable scholars to contribute to the field of hadith.

Kaynakça

  • Abdul Karim, Nor Shahriza - Hazmi, Norzelatun Rodhiah. “Assessing Islamic Information Quality on the Internet: A Case Of Information About Hadith”. Malaysian Journal of Library & Information Science 10/2 (December 2005), 51-66.
  • Abu Bakar, Muhammad Yuslan vd. “Multi-Label Topic Classification of Hadith of Bukhari (Indonesian Language Translation) Using Information Gain and Backpropagation Neural Network”. International Conference on Asian Language Processing (2018), 344-350. https://doi.org/10.1109/IALP.2018.8629263
  • Alam, Tanvir – Schneider, Jens. “Social Network Analysis of Hadith Narrators from Sahih Bukhari”. International Conference on Behavioural and Social Computing (2020), 1-5. https://doi.org/10.1109/BESC51023.2020.9348299
  • Aldhaln, Kawther vd. “Improving Knowledge Extraction of Hadith Classifier Using Decision Tree Algorithm”. International Conference on Information Retrieval & Knowledge Management (2012), 148-152. https://doi.org/10.1109/InfRKM.2012.6205024
  • Alias, Nursyahidah vd. “Searching Algorithm of Authentic Chain of Narrators in Shahih Bukhari Book”. International Conference on Applied Computing, Mathematical Sciences and Engineering (2016), 1-6.
  • Al-Kabi, Mohammed N. vd. “Extended Topical Classification of Hadith Arabic Text”. International Journal on Islamic Applications in Computer Science and Technology 3/3 (2015), 13-23.
  • Al-Kabi, Mohammed N. vd. “al-Hadith Text Classifier”. Journal of Applied Sciences 5/3 (2005), 584-587. https://dx.doi.org/10.3923/jas.2005.584.587
  • Altınörs, Atakan. Dil Felsefesi Sözlüğü. İstanbul: Paradigma Yayınları, 2000.
  • Azmi, Aqil M. vd. Al-Qabbany, Abdulaziz O. – Hussain, Amir. “Computational and natural language processing based studies of hadith literature: a survey”. Artificial Intelligence Review 52/2 (August 2019), 1369-1414. https://doi.org/10.1007/s10462-019-09692-w
  • Bounhas, Ibrahim. “On the Usage of a Classical Arabic Corpus as a Language Resource: Related Research and Key Challenges”. ACM Transactions on Asian and Low-Resource Language Information Processing 18/3 (July 2019), 1-45. https://doi.org/10.1145/3277591
  • Buhârî, Ebû Abdillâh Muhammed b. İsmail. Sahîhü’l-Buhârî. nşr. Mustafa Dib el-Buga. 6 cilt. b.y.: Dımaşk: Dâru İbn Kesîr; Beyrût: el-Yemâme, 4. Basım, 1990/1410.
  • Gençer, Mehmet. “Sosyal Ağ Analizi Yöntemlerine Bir Bakış”. Yildiz Social Science Review 3/2 (2017), 19-34.
  • Hyder, Syed Irfan – Ahmed, Syed Ghazanfar. “Towards A Database Oriented Hadith Research Using Relational, Algorithmic and Data-Warehousing Techniques”. Al Saqafat-ul-Islamia (Islamic Culture), Research Quarterly Journal of Shaikh Zayed Islamic Center for Islamic and Arabic Studies 19 (2008), 14-32.
  • Jaber, Mohanad Jasim – Saad, Saidah. “NER in English Translation of Hadith Documents Using Classifiers Combination”. Journal of Theoretical and Applied Information Technology 84/3 (February 2016), 348-354.
  • Jbara, Khitam. “Knowledge Discovery in Al-Hadith Using Text Classification Algorithm”. Journal of American Science 6/11 (2010), 409-419. http://www.dx.doi.org/10.7537/marsjas061110.48
  • Mahmood, Ahsan vd. “A Multilingual Datasets Repository of the Hadith Content”. International Journal of Advanced Computer Science and Applications 9/2 (2018), 165-171. https://dx.doi.org/10.14569/IJACSA.2018.090224
  • Mahmood, Ahsan vd. “Query Based Information Retrieval and Knowledge Extraction Using Hadith Datasets”. 2017 13th International Conference on Emerging Technologies (2017), 1-6. https://doi.org/10.1109/ICET.2017.8281714
  • Mehdi Ghazizadeh vd. “Fuzzy Expert System in Determining Hadith Validity”, Advances in Computer and Information Sciences and Engineering, ed. Tarek Sobh (Springer Science-Business Media B.V., 2008), 354-359. https://doi.org/10.1007/978-1-4020-8741-7_64
  • Microsoft Azure. “Makine Öğrenmesi Nedir?”. (Erişim 20 Ağustos 2021). https://azure.microsoft.com/tr-tr/overview/what-is-machine-learning-platform/
  • Mohammad Najib, Syuhairah Rahifah vd. “Comparative Study of Machine Learning Approach on Malay Translated Hadith Text Classification Based on Sanad”. MATEC Web of Conferences 135 (2017), 1-9. https://doi.org/10.1051/matecconf/201713500066.
  • Mohammed Q. Shatnawi vd. “Verification Hadith Correctness in Islamic Web Pages Using Information Retrieval Techniques”. International Journal of Computer Applications 44/13 (April 2012), 47-49. http://dx.doi.org/10.5120/6327-8680.
  • Najiyah, Ina vd. “Hadith Degree Classification For Shahih Hadith İdentification Web Based”. International Conference on Cyber and IT Service Management (2017), 1-6. https://doi.org/10.1109/CITSM.2017.8089304.
  • Özger, Zeynep Banu – Diri, Banu. “Türkçe Dokümanlar İçin Kural Tabanlı Varlık İsmi Tanıma”. Türkiye Bilişim Vakfı Bilgisayar Bilimleri ve Mühendisliği Dergisi 5/2 (Haziran 2016), 3- 11.
  • Romanov, Maxim G. Computational Reading of Arabic Biographical Collections with Special Reference to Preaching in the Sunni World (661--1300 CE). Ann Arbor: University of Michigan, Horace H. Rackham School of Graduate Studies, Doktora Tezi, 2013). https://deepblue.lib.umich.edu/handle/2027.42/102300.
  • Saeed, Sumaira vd. “Social network analysis of Hadith narrators”. Journal of King Saud University- Computer and Information Sciences 33/2 (February 2021), 1-9. https://doi.org/10.1016/j.jksuci.2021.01.019.
  • Saleh, Adam Gambo - Mai, Mohammed. “Assessment of the Quality of Hadith Information on the Internet”. Information Impact 6/2 (2015), 127-138.
  • Saloot, Mohammad Arshi vd. “Hadith data Mining And Classification: A Comparative Analysis”. Artificial Intelligence Review 46/1 (2016), 113-128. https://doi.org/10.1007/s10462-016-9458 x.
  • Savaş, Serkan vd. “Veri Madenciliği ve Türkiye’deki Uygulama Örnekleri”. İstanbul Ticaret Üniversitesi Fen Bilimleri Dergisi 11/21 (Bahar 2012), 1-23.
  • Seagate. “Rethink_Data_Report_2020”. (Erişim 3 Haziran 2021). https://www.seagate.com/files/www-content/our-story/rethink-data/files/Rethink_Data _Report_2020.pdf
  • Seker, Sadi Evren. “Metin Madenciliği (Text Mining)”. Yönetim Bilişim Sistemleri Ansiklopedisi 2/3 (2015), 30.
  • Sekti Kartika Dini vd. “Sequential Pattern Mining of Rawi Hadis (Case Study: Shahih Hadis of Imam Bukhari From Software Ensiklopedi Hadis Kitab 9 Imam)”. AIP Conference Proceedings 1827/1 (2017), 1-8. https://doi.org/10.1063/1.4979446

Veri Madenciliği Tekniklerinin ve Algoritmik Araştırmaların Hadis İlmine Uygulanabilirliği

Yıl 2021, Sayı: 44, 461 - 474, 20.09.2021
https://doi.org/10.37697/eskiyeni.960636

Öz

Çağımızda bilginin dijital dünyadaki varlığı her geçen gün daha çok hissedilmektedir. Dijital ortamda dolaşan bu bilgiler işlenip nitelikli bilgiye dönüştürüldüğünde gelişen teknoloji çağına katkı sunacaktır. Bu noktada büyük miktardaki bilgiyi yapılandıran veri madenciliği yöntemleri ve algoritmik araştırmalar devreye girmektedir. Veri madenciliği, fen bilimlerinden sosyal bilimlere birçok sahada kullanılan ve kullanılması muhtemel yöntemlerden biridir. Pek çok ilmî disiplinde karşımıza çıkan bu yöntemlerin özellikle son yirmi yıldır hadis alanında da yapıldığı görülmektedir. Bu çalışmada dünya üzerinde veri madenciliği yöntemlerini ve algoritmik araştırmaları hadis ilmine uygulayan ve en çok atıf alan bilimsel makaleler incelenmiştir. Şu ana kadar yapılan çalışmalar hadisin metnine, ricâline, sıhhatine yahut web ortamındaki kullanımına odaklanmaktadır. Bu araştırmaların bir kısmı genel olarak hadisleri konularına göre tasnif etmeyi, özel olarak hadis sözlükleri oluşturmayı hedeflemektedir. Öte yandan seneddeki râvi zincirini ve sahih hadisi formüle ederek hadisin sıhhat tespitini sistemleştirmeye yönelik çalışmalar da bulunmaktadır. Ayrıca sosyal ağ grafikleri oluşturmak suretiyle râviler üzerine incelemelerde bulunan araştırmalara rastlanmaktadır. Bu araştırmalar fen bilimlerinde olduğu gibi hadis ilmindeki verilerin yapılandırılarak hesaplanabilir ve nesnel bir şekilde ortaya konulmasına fırsat sunmaktadır. Esasında asırlar önce sünnetin unutulmasının ve tahrip edilmesinin önüne geçmeyi amaçlayan muhaddisler de hadis ilmine dair edindikleri bilgileri ölçmeye ve değerlendirmeye çalışmışlardır. Bu muhaddislerden bizlere hem hadisin ricâli hem de metni konusunda kimi zaman üzerinde ittifak edilen kimi zaman münferit öznel değerlendirmeler ulaşmıştır. İşte bu noktada veri madenciliği teknikleri ve algoritmik araştırmalar kimi zaman yoruma dayalı ve kendini tekrar eden malumatları somut verilere dönüştürecektir. Bu araştırmaların sunduğu bir diğer fırsat ise hadis metnine dijital ortamdan ulaşan halkın hadis verilerinin içeriği hakkında bilgi edinme bilincini kazanmasıdır. Nitekim bazı araştırmalarda görüldüğü üzere hadis karşıtı web siteleri hadis hakkında bilgi sahibi olmak isteyen öğrenciler tarafından sıkça ziyaret edilmektedir. Bu sebeple halkın ulaştığı bilgi kaynaklarını yönetmek yanlış din algısından kaynaklanan sosyal ve politik birçok problemin çözüme kavuşturulmasına yardımcı olacaktır. Bu çalışmanın amacı özellikle Türkiye’deki hadis alanında çalışan araştırmacılara veri madenciliğini ve algoritmik araştırmaları tanıtmak ve bahsi geçen bu yöntemleri hadis ilmiyle birlikte kullanarak araştırmacıların hadis ilminin gelişimine katkıda bulunmasını sağlamaktır.

Kaynakça

  • Abdul Karim, Nor Shahriza - Hazmi, Norzelatun Rodhiah. “Assessing Islamic Information Quality on the Internet: A Case Of Information About Hadith”. Malaysian Journal of Library & Information Science 10/2 (December 2005), 51-66.
  • Abu Bakar, Muhammad Yuslan vd. “Multi-Label Topic Classification of Hadith of Bukhari (Indonesian Language Translation) Using Information Gain and Backpropagation Neural Network”. International Conference on Asian Language Processing (2018), 344-350. https://doi.org/10.1109/IALP.2018.8629263
  • Alam, Tanvir – Schneider, Jens. “Social Network Analysis of Hadith Narrators from Sahih Bukhari”. International Conference on Behavioural and Social Computing (2020), 1-5. https://doi.org/10.1109/BESC51023.2020.9348299
  • Aldhaln, Kawther vd. “Improving Knowledge Extraction of Hadith Classifier Using Decision Tree Algorithm”. International Conference on Information Retrieval & Knowledge Management (2012), 148-152. https://doi.org/10.1109/InfRKM.2012.6205024
  • Alias, Nursyahidah vd. “Searching Algorithm of Authentic Chain of Narrators in Shahih Bukhari Book”. International Conference on Applied Computing, Mathematical Sciences and Engineering (2016), 1-6.
  • Al-Kabi, Mohammed N. vd. “Extended Topical Classification of Hadith Arabic Text”. International Journal on Islamic Applications in Computer Science and Technology 3/3 (2015), 13-23.
  • Al-Kabi, Mohammed N. vd. “al-Hadith Text Classifier”. Journal of Applied Sciences 5/3 (2005), 584-587. https://dx.doi.org/10.3923/jas.2005.584.587
  • Altınörs, Atakan. Dil Felsefesi Sözlüğü. İstanbul: Paradigma Yayınları, 2000.
  • Azmi, Aqil M. vd. Al-Qabbany, Abdulaziz O. – Hussain, Amir. “Computational and natural language processing based studies of hadith literature: a survey”. Artificial Intelligence Review 52/2 (August 2019), 1369-1414. https://doi.org/10.1007/s10462-019-09692-w
  • Bounhas, Ibrahim. “On the Usage of a Classical Arabic Corpus as a Language Resource: Related Research and Key Challenges”. ACM Transactions on Asian and Low-Resource Language Information Processing 18/3 (July 2019), 1-45. https://doi.org/10.1145/3277591
  • Buhârî, Ebû Abdillâh Muhammed b. İsmail. Sahîhü’l-Buhârî. nşr. Mustafa Dib el-Buga. 6 cilt. b.y.: Dımaşk: Dâru İbn Kesîr; Beyrût: el-Yemâme, 4. Basım, 1990/1410.
  • Gençer, Mehmet. “Sosyal Ağ Analizi Yöntemlerine Bir Bakış”. Yildiz Social Science Review 3/2 (2017), 19-34.
  • Hyder, Syed Irfan – Ahmed, Syed Ghazanfar. “Towards A Database Oriented Hadith Research Using Relational, Algorithmic and Data-Warehousing Techniques”. Al Saqafat-ul-Islamia (Islamic Culture), Research Quarterly Journal of Shaikh Zayed Islamic Center for Islamic and Arabic Studies 19 (2008), 14-32.
  • Jaber, Mohanad Jasim – Saad, Saidah. “NER in English Translation of Hadith Documents Using Classifiers Combination”. Journal of Theoretical and Applied Information Technology 84/3 (February 2016), 348-354.
  • Jbara, Khitam. “Knowledge Discovery in Al-Hadith Using Text Classification Algorithm”. Journal of American Science 6/11 (2010), 409-419. http://www.dx.doi.org/10.7537/marsjas061110.48
  • Mahmood, Ahsan vd. “A Multilingual Datasets Repository of the Hadith Content”. International Journal of Advanced Computer Science and Applications 9/2 (2018), 165-171. https://dx.doi.org/10.14569/IJACSA.2018.090224
  • Mahmood, Ahsan vd. “Query Based Information Retrieval and Knowledge Extraction Using Hadith Datasets”. 2017 13th International Conference on Emerging Technologies (2017), 1-6. https://doi.org/10.1109/ICET.2017.8281714
  • Mehdi Ghazizadeh vd. “Fuzzy Expert System in Determining Hadith Validity”, Advances in Computer and Information Sciences and Engineering, ed. Tarek Sobh (Springer Science-Business Media B.V., 2008), 354-359. https://doi.org/10.1007/978-1-4020-8741-7_64
  • Microsoft Azure. “Makine Öğrenmesi Nedir?”. (Erişim 20 Ağustos 2021). https://azure.microsoft.com/tr-tr/overview/what-is-machine-learning-platform/
  • Mohammad Najib, Syuhairah Rahifah vd. “Comparative Study of Machine Learning Approach on Malay Translated Hadith Text Classification Based on Sanad”. MATEC Web of Conferences 135 (2017), 1-9. https://doi.org/10.1051/matecconf/201713500066.
  • Mohammed Q. Shatnawi vd. “Verification Hadith Correctness in Islamic Web Pages Using Information Retrieval Techniques”. International Journal of Computer Applications 44/13 (April 2012), 47-49. http://dx.doi.org/10.5120/6327-8680.
  • Najiyah, Ina vd. “Hadith Degree Classification For Shahih Hadith İdentification Web Based”. International Conference on Cyber and IT Service Management (2017), 1-6. https://doi.org/10.1109/CITSM.2017.8089304.
  • Özger, Zeynep Banu – Diri, Banu. “Türkçe Dokümanlar İçin Kural Tabanlı Varlık İsmi Tanıma”. Türkiye Bilişim Vakfı Bilgisayar Bilimleri ve Mühendisliği Dergisi 5/2 (Haziran 2016), 3- 11.
  • Romanov, Maxim G. Computational Reading of Arabic Biographical Collections with Special Reference to Preaching in the Sunni World (661--1300 CE). Ann Arbor: University of Michigan, Horace H. Rackham School of Graduate Studies, Doktora Tezi, 2013). https://deepblue.lib.umich.edu/handle/2027.42/102300.
  • Saeed, Sumaira vd. “Social network analysis of Hadith narrators”. Journal of King Saud University- Computer and Information Sciences 33/2 (February 2021), 1-9. https://doi.org/10.1016/j.jksuci.2021.01.019.
  • Saleh, Adam Gambo - Mai, Mohammed. “Assessment of the Quality of Hadith Information on the Internet”. Information Impact 6/2 (2015), 127-138.
  • Saloot, Mohammad Arshi vd. “Hadith data Mining And Classification: A Comparative Analysis”. Artificial Intelligence Review 46/1 (2016), 113-128. https://doi.org/10.1007/s10462-016-9458 x.
  • Savaş, Serkan vd. “Veri Madenciliği ve Türkiye’deki Uygulama Örnekleri”. İstanbul Ticaret Üniversitesi Fen Bilimleri Dergisi 11/21 (Bahar 2012), 1-23.
  • Seagate. “Rethink_Data_Report_2020”. (Erişim 3 Haziran 2021). https://www.seagate.com/files/www-content/our-story/rethink-data/files/Rethink_Data _Report_2020.pdf
  • Seker, Sadi Evren. “Metin Madenciliği (Text Mining)”. Yönetim Bilişim Sistemleri Ansiklopedisi 2/3 (2015), 30.
  • Sekti Kartika Dini vd. “Sequential Pattern Mining of Rawi Hadis (Case Study: Shahih Hadis of Imam Bukhari From Software Ensiklopedi Hadis Kitab 9 Imam)”. AIP Conference Proceedings 1827/1 (2017), 1-8. https://doi.org/10.1063/1.4979446
Toplam 31 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Din Araştırmaları
Bölüm Makaleler
Yazarlar

Sema Tombul 0000-0003-3622-5407

Yayımlanma Tarihi 20 Eylül 2021
Gönderilme Tarihi 1 Temmuz 2021
Yayımlandığı Sayı Yıl 2021 Sayı: 44

Kaynak Göster

ISNAD Tombul, Sema. “Veri Madenciliği Tekniklerinin Ve Algoritmik Araştırmaların Hadis İlmine Uygulanabilirliği”. Eskiyeni 44 (Eylül 2021), 461-474. https://doi.org/10.37697/eskiyeni.960636.
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