Challenges in Ontology-Guided Data Integration: A Comprehensive Review | ||
| International Journal of Applied Intelligent Computing and Informatics | ||
| Volume 1, Issue 2, September 2025, Pages 46-54 PDF (374.07 K) | ||
| Document Type: Original Article | ||
| DOI: 10.21608/ijaici.2025.410052.1013 | ||
| Authors | ||
| Mohamed Hamdy Morse* 1; Karam Gouda2; Alaaeldeen Yassin3 | ||
| 1Benha | ||
| 2information system, faculty of computers an AI, benha university | ||
| 3IS, faculty of computers and AI | ||
| Abstract | ||
| Ontology is a branch of philosophy that studies the nature of reality, and how to classify the things that exist in it. It aims to answer questions such as: "What are the entities that exist?", "What are their properties?", "How related to each other?", and more details about this. Also ontology refers to more detailed study of the different knowledge and data to organize them in a way that can be used by different systems to understand and analyze them. One of the most important challenges in the field of ontology is data integration to integrate more than one ontology. Integration between the ontology provides enhancement of the compatibility between data and knowledge, to improve analyze and understand, and support decisions in complicated situations. This process requires planning to solve some challenges related to how to integrate. Among these challenges is determining the methodology used for integration that is compatible with the nature of the data and the existing work environment. This survey reviews different research on Data integration using ontology. Many methodologies are used in ontology integration, Some used ontology creation to solve the data integration problem and some used ontology matching with NLP techniques, some worked fully automated and some semi-automated. The results varied depending on the methods used and the nature of the data. The paper discusses from previous studies whether ontology is an ideal solution for data integration, methodology used and result of evaluations. | ||
| Keywords | ||
| Ontology; Data Integration; Ontology Creation; Ontology Matching | ||
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