A Domain Ontology for Modeling the Book of Purification in Islam
- URL: http://arxiv.org/abs/2505.18222v1
- Date: Fri, 23 May 2025 08:55:59 GMT
- Title: A Domain Ontology for Modeling the Book of Purification in Islam
- Authors: Hessa Alawwad,
- Abstract summary: This paper aims to address a gap in major Islamic topics by developing an ontology for the Book of Purification in Islam.<n>Many authoritative Islamic texts begin with the Book of Purification, as it is essential for performing prayer.<n>This structured representation is intended to support knowledge sharing and reuse.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: This paper aims to address a gap in major Islamic topics by developing an ontology for the Book of Purification in Islam. Many authoritative Islamic texts begin with the Book of Purification, as it is essential for performing prayer (the second pillar of Islam after Shahadah, the profession of faith) and other religious duties such as Umrah and Hajj. The ontology development strategy followed six key steps: (1) domain identification, (2) knowledge acquisition, (3) conceptualization, (4) classification, (5) integration and implementation, and (6) ontology generation. This paper includes examples of the constructed tables and classifications. The focus is on the design and analysis phases, as technical implementation is beyond the scope of this study. However, an initial implementation is provided to illustrate the steps of the proposed strategy. The developed ontology ensures reusability by formally defining and encoding the key concepts, attributes, and relationships related to the Book of Purification. This structured representation is intended to support knowledge sharing and reuse.
Related papers
- Towards a unified framework for programming paradigms: A systematic review of classification formalisms and methodological foundations [0.0]
This systematic literature review maps the formal foundations of programming paradigms.<n>We find that existing lack conceptual granularity, a unified formal basis, and struggle with hybrid languages.<n>We conclude that the literature reflects a significant intellectual shift away from classification towards promising formal, reconstructive frameworks.
arXiv Detail & Related papers (2025-08-01T11:19:40Z) - On the Element-Wise Representation and Reasoning in Zero-Shot Image Recognition: A Systematic Survey [82.49623756124357]
Zero-shot image recognition (ZSIR) aims to recognize and reason in unseen domains by learning generalized knowledge from limited data.<n>This paper thoroughly investigates recent advances in element-wise ZSIR and provides a basis for its future development.
arXiv Detail & Related papers (2024-08-09T05:49:21Z) - Ontology Embedding: A Survey of Methods, Applications and Resources [54.3453925775069]
Onologies are widely used for representing domain knowledge and meta data.<n> logical reasoning that can directly support are quite limited in learning, approximation and prediction.<n>One straightforward solution is to integrate statistical analysis and machine learning.
arXiv Detail & Related papers (2024-06-16T14:49:19Z) - Développement automatique de lexiques pour les concepts émergents : une exploration méthodologique [0.0]
This paper presents the development of a lexicon centered on emerging concepts, focusing on non-technological innovation.
It introduces a four-step methodology that combines human expertise, statistical analysis, and machine learning techniques to establish a model that can be generalized across multiple domains.
arXiv Detail & Related papers (2024-06-10T12:58:56Z) - Building Domain-Specific LLMs Faithful To The Islamic Worldview: Mirage
or Technical Possibility? [0.0]
Large Language Models (LLMs) have demonstrated remarkable performance across numerous natural language understanding use cases.
In the context of Islam and its representation, accurate and factual representation of its beliefs and teachings rooted in the Quran and Sunnah is key.
This work focuses on the challenge of building domain-specific LLMs faithful to the Islamic worldview.
arXiv Detail & Related papers (2023-12-11T18:59:09Z) - Entity Graph Extraction from Legal Acts -- a Prototype for a Use Case in
Policy Design Analysis [52.77024349608834]
This paper presents a prototype developed to serve the quantitative study of public policy design.
Our system aims to automate the process of gathering legal documents, annotating them with Institutional Grammar, and using hypergraphs to analyse inter-relations between crucial entities.
arXiv Detail & Related papers (2022-09-02T10:57:47Z) - O-Dang! The Ontology of Dangerous Speech Messages [53.15616413153125]
We present O-Dang!: The Ontology of Dangerous Speech Messages, a systematic and interoperable Knowledge Graph (KG)
O-Dang! is designed to gather and organize Italian datasets into a structured KG, according to the principles shared within the Linguistic Linked Open Data community.
It provides a model for encoding both gold standard and single-annotator labels in the KG.
arXiv Detail & Related papers (2022-07-13T11:50:05Z) - The Arabic Ontology -- An Arabic Wordnet with Ontologically Clean
Content [0.0]
Ontology consists of about 1,300 well-investigated concepts in addition to 11,000 concepts that are partially validated.
Ontology is accessible and searchable through a lexicographic search engine.
Ontology is fully mapped with Princeton WordNet, Wikidata, and other resources.
arXiv Detail & Related papers (2022-05-19T16:27:44Z) - Embedding Knowledge for Document Summarization: A Survey [66.76415502727802]
Previous works proved that knowledge-embedded document summarizers excel at generating superior digests.
We propose novel to recapitulate knowledge and knowledge embeddings under the document summarization view.
arXiv Detail & Related papers (2022-04-24T04:36:07Z) - Marriage is a Peach and a Chalice: Modelling Cultural Symbolism on the
SemanticWeb [0.5801044612920815]
We introduce the Simulation Ontology, an ontology that models the background knowledge of symbolic meanings.
We re-engineered the symbolic knowledge already present in heterogeneous resources by converting it into our ontology schema to create HyperReal.
A first experiment run on the knowledge graph is presented to show the potential of quantitative research on symbolism.
arXiv Detail & Related papers (2021-11-03T10:40:50Z) - Formalising Concepts as Grounded Abstractions [68.24080871981869]
This report shows how representation learning can be used to induce concepts from raw data.
The main technical goal of this report is to show how techniques from representation learning can be married with a lattice-theoretic formulation of conceptual spaces.
arXiv Detail & Related papers (2021-01-13T15:22:01Z) - Quran Intelligent Ontology Construction Approach Using Association Rules
Mining [0.0]
This research project is concerned with the use of association rules to extract the Quran ontology.
Our system is based on the combination of statistics and methods to extract semantic and conceptual relations from Quran verses.
The Quran concepts will offer a new and powerful representation of Quran knowledge, and the association rules will help to represent the relations between all classes of connected concepts in the Quran.
arXiv Detail & Related papers (2020-08-07T15:48:58Z) - Computational linguistic assessment of textbook and online learning
media by means of threshold concepts in business education [59.003956312175795]
From a linguistic perspective, threshold concepts are instances of specialized vocabularies, exhibiting particular linguistic features.
The profiles of 63 threshold concepts from business education have been investigated in textbooks, newspapers, and Wikipedia.
The three kinds of resources can indeed be distinguished in terms of their threshold concepts' profiles.
arXiv Detail & Related papers (2020-08-05T12:56:16Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.