The digital age has led to a significant increase in the amount of information, and the relationships among different types of information have become more sophisticated. In addition, growing numbers of users are benefiting from this information. The types of these users vary, necessitating techniques for analyzing customers’ experiences in order to meet their needs. Regarding e-government, the number of structured and unstructured webpages of electronic services has increased, making the repositories more complex and difficult to analyze without considering semantic knowledge. In this paper, we present an approach for the automatic extraction of the ontology-based Semantic Web (SW) constructed from Arabic webpages related to Dubai’s e-government services. The proposed methodology consists of four stages. The first stage is concerned with data extraction and validation from the www.dubai.ae portal, including official profiles for more than 500 services. We developed an Automatic Extraction Dataset System (AEDS) tool to extract the dataset that represents all government services profiles. The second stage is data processing and involved using Natural Language Processing (NLP) tasks to process the services’ profiles and extract the ontology keywords. The third stage is the mapping rules process to link the ontology components with the extracted keywords. Lastly, the ontology was constructed using the OWL format and Protégé tool standards. Afterwards, an experimental evaluation was conducted to evaluate the accuracy of the constructed ontology. The results indicate high scores in terms of Precision, with 87% on average, and Recall, with 97% on average. Finally, we present the challenges and future prospects.
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