An Ontology-based Name Entity Recognition NER and NLP Systems in Arabic Storytelling
Elgamal, M., Abou-Kreisha, M., Abo Elezz, R., Hamada, S. (2020). An Ontology-based Name Entity Recognition NER and NLP Systems in Arabic Storytelling. EKB Journal Management System, 31(Issue 2-B), 31-38. doi: 10.21608/absb.2020.44367.1088
Marwa Elgamal; Mohamed Abou-Kreisha; Reda Abo Elezz; Salwa Hamada. "An Ontology-based Name Entity Recognition NER and NLP Systems in Arabic Storytelling". EKB Journal Management System, 31, Issue 2-B, 2020, 31-38. doi: 10.21608/absb.2020.44367.1088
Elgamal, M., Abou-Kreisha, M., Abo Elezz, R., Hamada, S. (2020). 'An Ontology-based Name Entity Recognition NER and NLP Systems in Arabic Storytelling', EKB Journal Management System, 31(Issue 2-B), pp. 31-38. doi: 10.21608/absb.2020.44367.1088
Elgamal, M., Abou-Kreisha, M., Abo Elezz, R., Hamada, S. An Ontology-based Name Entity Recognition NER and NLP Systems in Arabic Storytelling. EKB Journal Management System, 2020; 31(Issue 2-B): 31-38. doi: 10.21608/absb.2020.44367.1088

An Ontology-based Name Entity Recognition NER and NLP Systems in Arabic Storytelling

Al-Azhar Bulletin of Science
Article 3, Volume 31, Issue 2-B, December 2020, Page 31-38  XML PDF (530.56 K)
Document Type: Review Article
DOI: 10.21608/absb.2020.44367.1088
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Authors
Marwa Elgamal email 1; Mohamed Abou-Kreisha2; Reda Abo Elezz1; Salwa Hamada3
1Systems and Computer Department, Faculty of Engineering, Al-Azhar University, Cairo, Egypt
2Mathematics Department, Faculty of Science, (Boys) Al-Azhar University, Cairo, Egypt
3Electronics Research Institute, Cairo, Egypt
Abstract
Ontology is a descriptive model representing domain knowledge with robust specifications that solve interoperability between humans and machines. In this work, a practical methodology presented for Arabic Storytelling ontology construction for domain ontology extraction from unstructured Arabic story documents. However, the manual construction of ontologies is a time-consuming and challenging process. Still, ontology construction and learning, which extracts ontological knowledge from various data types automatically or semi-automatically, can overcome the bottleneck of knowledge acquisition. This paper intends to investigate the problem of automatically construct and build an Arabic storytelling ontology based on Arabic named entity recognition (NER) from unstructured story text. This paper presents a system designed based on Machine Learning (ML) approach. The system framework is a combination of five main stages: The first stage determines the requirement analysis—second document pre-processing using NLP tasks. The third is Conceptualization. The fourth stage is formal design and construction, and the final step is evaluation.
Keywords
Ontology Construction; Natural Language Processing (NLP); Name Entity Recognition (NER); Semantic Web; Ontology Web Language (OWL)
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