ONTOLOGY-BASED APPROACH FOR AUTOMATED INFORMATION RETRIEVAL SYSTEMS: PRINCIPLES AND APPLICATIONS

Muxtarov Rustam Axtam o‘g‘li

Navoi Innovations University Faculty of Economics and Information Technologies Department: Information Systems and Technologies 2nd Year Student

Keywords: Ontology, information retrieval, automated search systems, semantic analysis, knowledge representation, intelligent systems, data integration.

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Abstract

 This article explores the use of ontology-based approaches in automated information retrieval (IR) systems. Ontologies provide a structured representation of domain knowledge, enabling IR systems to understand, interpret, and process user queries more effectively. By integrating ontologies into automated search systems, semantic consistency, relevance, and accuracy of retrieved information can be significantly enhanced. The paper discusses the principles, methodologies, and practical applications of ontology-driven IR, demonstrating its role in improving search efficiency, knowledge discovery, and intelligent decision support in modern information systems.

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References

1. Gruber, T. R. A Translation Approach to Portable Ontology Specifications.

Knowledge Acquisition, 1993, Vol. 5, pp. 199–220.

2. Studer, R., Benjamins, V. R., Fensel, D. Knowledge Engineering: Principles and

Methods. Data & Knowledge Engineering, 1998, Vol. 25, pp. 161–197.

3. Wache, H., et al. Ontology-Based Integration of Information – A Survey of

Existing Approaches. IJCAI Workshop, 2001.

4. Noy, N. F., McGuinness, D. L. Ontology Development 101: A Guide to Creating

Your First Ontology. Stanford University, 2001.

5. Sheth, A., Larson, J. Federated Database Systems for Managing Distributed,

Heterogeneous, and Autonomous Databases. ACM Computing Surveys, 1990,

Vol. 22, No. 3.

6. Guarino, N. Formal Ontology and Information Systems. FOIS, 1998.

7. Staab, S., Studer, R. Handbook on Ontologies. Springer, 2010.

8. Rajugan, R., Chang, E. Ontology-based Data Integration Techniques.

International Journal of Information Technology, 2015.