Application of OASys approaches for dates ontology

Tawil, Siti Fatimah Mohd; Ismail, Roesnita; Wahid, Fauziah Abdul; Norwawi, Norita Md; Mazlan, Ahmad Akmaluddin

doi:10.1109/infrkm.2016.7806349

Cited by 1 publication

(2 citation statements)

References 9 publications

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“…These have been evaluated based on competency questions. Furthermore, there are few works on ontology for different scopes in the Quran such as by [2,[8][9][10][11]. As for [8], they have modelled nature related concepts of the Quran using OWL (Web Ontology Language) / RDF (Resource Description Framework).…”

Section: Related Workmentioning

confidence: 99%

“…As for [8], they have modelled nature related concepts of the Quran using OWL (Web Ontology Language) / RDF (Resource Description Framework). Meanwhile, in [9] developed Dates ontology on the prophetic food domain by applying OAsys approaches. As for [10], they built a domainspecific ontology (Tibb Al-Nabawi ontology) for the Prophet's medicine representation by applying the Ontology 101 approach based on Hadith.…”

Section: Related Workmentioning

confidence: 99%

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Ontology Development for Medical and Health Science Domain in the Quran

Safee¹,

Saudi²,

Saadan³

2018

IJET

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Ontology is known as a knowledge representation and acts as a sharing platform for common ideas within a similar domain. It has a tree structure to ease the information presentation to users. Nowadays, it is very important to have a consistent and systematic way of presenting and retrieving different sources of knowledge such as the Quran and Hadith. Since there is so much useful information that can be retrieved from the Quran, especially for the Medical and Health Science domain, this paper presents the development of ontology for the Medical and Health Science domain in the Quran by adopting the Ontology 101 approach. These include the scope and domain determination, competency question formulation, ontology construction, and ontology evaluation. The proposed ontology in this paper has successfully retrieved the correct answers for Medical and Health Science using related queries via SPARQL-query and has been evaluated by the domain experts. Furthermore, the ontology structure accuracy has also been verified using reasoner, where it detected inconstancy during ontology development. For future work, this research paper can be used as a reference and basis to answer user queries, data integration with other applications or this ontology can be further expanded.

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