Expanding Hadith Understanding Using Ontology

Junaidi, Juliyana; Jamal, Ikmal Hafiz; Ghazali, Norzulaili Mohd; Ahmad, Hishomudin; Salam, Rosalina Abdul

doi:10.1166/asl.2017.8939

Cited by 2 publications

(2 citation statements)

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“…Hadis qauli mewakili sebahagian besar jenis hadis Nabi SAW. Ia juga merupakan hadis yang lebih kuat penghujahannya seandai berlaku pertembungan dengan hadis fi'li atau hadis taqriri (Junaidi et al, 2017;Mohd et al, 2016;Sousoh, 1997).…”

Section: Hadis Nabawiunclassified

Hadis Amalan Terbaik Dalam Sahih Bukhari: Analisa Stilistik Fonosemantik

Ahmad,

Ahmad Ghafar,

Ahmad

et al. 2024

JOHS

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Stylistics, a sub-discipline of applied linguistics, examines the aesthetic aspects of language style within texts, particularly literary ones. While it is often used to explore the linguistic beauty of the Quran, it is less frequently applied to Prophetic Hadith texts. This study aims to analyse Hadiths that contain conversations between the Prophet and his companions, known as the Qauli Hiwari-type, related to exemplary practices (Afdhal al-‘amal), in Sahih Bukhari. Textual analysis was applied using phonosemantic analysis to examine letter combinations in words and ascertain their meanings related to these practices. The findings reveal five exemplary practices in the Prophet's Hadiths as narrated in Sahih Bukhari, hierarchically arranged to reflect their significance: belief in Allah SWT and His Messenger, and performing prayers punctually, which are fundamental to Islam, followed by kindness to parents, Jihad fi Sabillillah, and performing Hajj Mabrur, subject to individual limitations and capacities. This study demonstrates that phonosemantic stylistics can effectively analyze the linguistic style of religious texts, particularly in discerning meanings embedded in letter combinations, and shows that Hadith texts can be examined through stylistics with appropriate guidelines. These findings contribute to a deeper understanding of the linguistic nuances and religious teachings within the Hadiths of Sahih Bukhari.

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Section: Hadis Nabawiunclassified

Hadis Amalan Terbaik Dalam Sahih Bukhari: Analisa Stilistik Fonosemantik

Ahmad,

Ahmad Ghafar,

Ahmad

et al. 2024

JOHS

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“…Another work was proposed for business-oriented applications that helps financial organizations to build a better financial system according to the laws of Islam (Majdalawieh et al , 2017). Junaidi et al (2017) worked on hadith ontology creation based on different concepts for better understanding of the hadith. Amin et al (2017) proposed their work that relates and extracts the concept of medical sciences with hadith data.…”

Section: Related Workmentioning

confidence: 99%

KEFST: a knowledge extraction framework using finite-state transducers

Mahmood

Khan

Rehman

et al. 2019

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Purpose The purpose of this research study is to extract and identify named entities from Hadith literature. Named entity recognition (NER) refers to the identification of the named entities in a computer readable text having an annotation of categorization tags for information extraction. NER is an active research area in information management and information retrieval systems. NER serves as a baseline for machines to understand the context of a given content and helps in knowledge extraction. Although NER is considered as a solved task in major languages such as English, in languages such as Urdu, NER is still a challenging task. Moreover, NER depends on the language and domain of study; thus, it is gaining the attention of researchers in different domains. Design/methodology/approach This paper proposes a knowledge extraction framework using finite-state transducers (FSTs) – KEFST – to extract the named entities. KEFST consists of five steps: content extraction, tokenization, part of speech tagging, multi-word detection and NER. An extensive empirical analysis using the data corpus of Urdu translation of Sahih Al-Bukhari, a widely known hadith book, reveals that the proposed method effectively recognizes the entities to obtain better results. Findings The significant performance in terms of f-measure, precision and recall validates that the proposed model outperforms the existing methods for NER in the relevant literature. Originality/value This research is novel in this regard that no previous work is proposed in the Urdu language to extract named entities using FSTs and no previous work is proposed for Urdu hadith data NER.

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Expanding Hadith Understanding Using Ontology

Cited by 2 publications

References 0 publications

Hadis Amalan Terbaik Dalam Sahih Bukhari: Analisa Stilistik Fonosemantik

Hadis Amalan Terbaik Dalam Sahih Bukhari: Analisa Stilistik Fonosemantik

KEFST: a knowledge extraction framework using finite-state transducers

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