Applying Ontological Modeling on Quranic Nature Domain

The holy Quran is the holy book of the Muslims. It contains information about many domains. Often people search for particular concepts of holy Quran based on the relations among concepts. An ontological modeling of holy Quran can be useful in such a scenario. In this paper, we have modeled nature related concepts of holy Quran using OWL (Web Ontology Language) / RDF (Resource Description Framework). Our methodology involves identifying nature related concepts mentioned in holy Quran and identifying relations among those concepts. These concepts and relations are represented as classes/instances and properties of an OWL ontology. Later, in the result section it is shown that, using the Ontological model, SPARQL queries can retrieve verses and concepts of interest. Thus, this modeling helps semantic search and query on the holy Quran. In this work, we have used English translation of the holy Quran by Sahih International, Protege OWL Editor and for querying we have used SPARQL.

READ FULL TEXT
research
04/30/2020

On the Merging of Domain-Specific Heterogeneous Ontologies using Wordnet and Web Pattern-based Queries

Ontologies form the basic interest in various computer science disciplin...
research
08/07/2020

Quran Intelligent Ontology Construction Approach Using Association Rules Mining

Ontology can be seen as a formal representation of knowledge. They have ...
research
05/09/2019

Semantic Search using Spreading Activation based on Ontology

Currently, the text document retrieval systems have many challenges in e...
research
03/30/2021

Probabilistic Analogical Mapping with Semantic Relation Networks

The human ability to flexibly reason with cross-domain analogies depends...
research
12/03/2013

A semi-automatic semantic method for mapping SNOMED CT concepts to VCM Icons

VCM (Visualization of Concept in Medicine) is an iconic language for rep...
research
10/11/2017

Stream Graphs and Link Streams for the Modeling of Interactions over Time

Graph theory provides a language for studying the structure of relations...
research
07/15/2018

Discovering Latent Concepts and Exploiting Ontological Features for Semantic Text Search

Named entities and WordNet words are important in defining the content o...

Please sign up or login with your details

Forgot password? Click here to reset