[HTML][HTML] Text categorisation in Quran and Hadith: Overcoming the interrelation challenges using machine learning and term weighting
NAP Rostam, NHAH Malim - Journal of King Saud University-Computer …, 2021 - Elsevier
Abstract Quran and Al-Hadith are interrelated in the sense that both often complement each
other in interpreting Islamic teachings. In order to gain comprehension of the Quran in detail …
other in interpreting Islamic teachings. In order to gain comprehension of the Quran in detail …
Predicting semantic categories in text based on knowledge graph combined with machine learning techniques
M Atef Mosa - Applied Artificial Intelligence, 2021 - Taylor & Francis
ABSTRACT The Quran and the Sunnah are the two principal elements of the Islamic
religion, and the hadith is an interpreter of the Quran. Hadith is everything that the …
religion, and the hadith is an interpreter of the Quran. Hadith is everything that the …
A novel quranic search engine using an ontology-based semantic indexing
Quran is the most significant religious document in the Arabic language in Islamic law.
Several Quranic search engines have been designed and widely used for the past two …
Several Quranic search engines have been designed and widely used for the past two …
[PDF][PDF] Building Quranic stories ontology using MappingMaster domain-specific language.
RY Al-Salhi, AM Abdullah - International Journal of Electrical & …, 2022 - researchgate.net
The Holy Quran, due to it is full of many inspiring stories and multiple lessons that need to
understand it requires additional attention when it comes to searching issues and …
understand it requires additional attention when it comes to searching issues and …
Models for narrative information: a study
U Varadarajan, B Dutta - arXiv preprint arXiv:2110.02084, 2021 - arxiv.org
The major objective of this work is to study and report the existing ontology-driven models for
narrative information. The paper aims to analyze these models across various domains. The …
narrative information. The paper aims to analyze these models across various domains. The …
[PDF][PDF] k-means variations analysis for translation of English Tafseer Al-Quran text
Text mining is a powerful modern technique used to obtain interesting information from huge
datasets. Text clustering is used to distinguish between documents that have the same …
datasets. Text clustering is used to distinguish between documents that have the same …
New instances classification framework on Quran ontology applied to question answering system
Instances classification with the small dataset for Quran ontology is the current research
problem which appears in Quran ontology development. The existing classification …
problem which appears in Quran ontology development. The existing classification …
Feature Selection Technique to Improve the Instances Classification Framework Performance for Quran Ontology
Abstract The Al-Quran is the sacred book of Muslims, and it provides God's word in the form
of orders, instructions, and guidelines for people to follow to have happy lives both here and …
of orders, instructions, and guidelines for people to follow to have happy lives both here and …
Semantic ambiguous query formulation using statistical Linguistics technique
Natural language query systems mitigate the complexity of structured query. Usually, natural
language processing is implemented to solve several problems, such as information …
language processing is implemented to solve several problems, such as information …
Building trusted golden models-free hardware Trojan detection framework against untrustworthy testing parties using a novel clustering ensemble technique
R Bian, M Xue, J Wang - … On Trust, Security And Privacy In …, 2018 - ieeexplore.ieee.org
As a result of the globalization of integrated circuits (ICs) design and fabrication process, ICs
are becoming vulnerable to hardware Trojans. Most of the existing hardware Trojan …
are becoming vulnerable to hardware Trojans. Most of the existing hardware Trojan …