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2018•Journal of Fundamental and Applied SciencesOpen access

A HOLY QURAN ONTOLOGY CONSTRUCTION WITH SEMI¬ AUTOMATIC POPULATION

A. Elkhammash, B. Abdessalem

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Abstract

Ontology population is an instantiation of the ontology classes and subclasses. Ontology population is the main step in ontology construction. However, the manual population is a time-consuming task. Accordingly, automatic or semi-automatic methods to populate an ontology are required. This paper suggests an approach for the creation of an ontology and its population. The studied ontology is related to named entities in the holy Quran. The major contribution of this approach is to harness the benefits of learning methods, conjoined with statistical models to extract contexts (words surrounding a named entity) from Quran and Hadith and retain the weighty contexts for the recognition of supplementary named entities to populate the ontology.

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What this paper is about

Ontology population is an instantiation of the ontology classes and subclasses. Ontology population is the main step in ontology construction. However, the manual population is a time-consuming task. Accordingly, automatic or semi-automatic methods to populate an ontology are required. This paper suggests an approach for the creation of an ontology and its population. The studied ontology is related to named entities in the holy Quran. The major contribution of this approach is to harness the benefits of learning methods, conjoined with statistical models to extract contexts (words surrounding a named entity) from Quran and Hadith and retain the weighty contexts for the recognition of supplementary named entities to populate the ontology.

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Available abstract

Ontology population is an instantiation of the ontology classes and subclasses. Ontology population is the main step in ontology construction. However, the manual population is a time-consuming task. Accordingly, automatic or semi-automatic methods to populate an ontology are required. This paper suggests an approach for the creation of an ontology and its population. The studied ontology is related to named entities in the holy Quran. The major contribution of this approach is to harness the benefits of learning methods, conjoined with statistical models to extract contexts (words surrounding a named entity) from Quran and Hadith and retain the weighty contexts for the recognition of supplementary named entities to populate the ontology.

Key concepts: Ontology, Process ontology, Upper ontology, Suggested Upper Merged Ontology, Ontology-based data integration, Computer science, Ontology alignment, Population

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