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Enhancing Semantic Search Precision through the CBOW Algorithm in the Semantic Web

Authors

  • Ashraf F. A. Mahmoud Department of Computer Science, College of Science, Northern Border University, Arar, Saudi Arabia
  • Zakariya M. S. Mohammed Center for Scientific Research and Entrepreneurship, Northern Border University, Arar, Saudi Arabia
  • Mohamed Ben Ammar Department of Information Systems, College of Computing and Information Technology, Northern Border University, Rafha, Saudi Arabia
  • Ali Satty Department of Mathematics, College of Science, Northern Border University, Arar, Saudi Arabia
  • Faroug A. Abdalla Department of Computer Science, College of Science, Northern Border University, Arar, Saudi Arabia
  • Gamal Saad Mohamed Khamis Department of Computer Science, College of Science, Northern Border University, Arar, Saudi Arabia
  • Mohyaldein Salih Department of Mathematics, College of Science, Northern Border University, Arar, Saudi Arabia
  • Abdelnasser Saber Mohamed Computer Science Department, Applied College, Northern Border University, Arar, Saudi Arabia
Volume: 15 | Issue: 1 | Pages: 19522-19527 | February 2025 | https://doi.org/10.48084/etasr.9450

Received: 30 October 2024 | Revised: 18 November 2024 | Accepted: 29 November 2024 | Online: 5 December 2024


Corresponding author: Ashraf F. A. Mahmoud

Abstract

The Semantic Web enhances data interoperability and enables intelligent information retrieval through structured data representation. However, challenges remain in achieving high precision in semantic search. This paper uses the Continuous Bag of Words (CBOW) model to enhance semantic search precision. By generating rich word embeddings, CBOW enables a better understanding of contextual relationships among terms within semantic queries. Our approach has been evaluated using the websites intended to be used as a sample for testing the efficiency of semantic information retrieval, demonstrating significant improvements in search precision compared to traditional methods. The findings indicate that integrating CBOW into semantic search frameworks can lead to more relevant and accurate search results, paving the way for future advancements in Semantic Web technologies.

Keywords:

semantic search, continuous bag of words, imperfect interface, Word2vec

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How to Cite

[1]
Mahmoud, A.F.A., Mohammed, Z.M.S., Ben Ammar, M., Satty, A., Abdalla, F.A., Khamis, G.S.M., Salih, M. and Mohamed, A.S. 2025. Enhancing Semantic Search Precision through the CBOW Algorithm in the Semantic Web. Engineering, Technology & Applied Science Research. 15, 1 (Feb. 2025), 19522–19527. DOI:https://doi.org/10.48084/etasr.9450.

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Copyright (c) 2024 Ashraf F. A. Mahmoud, Zakariya M. S. Mohammed, Mohamed Ben Ammar, Ali Satty, Faroug A. H. Abdalla, Gamal Saad Mohamed Khamis, Mohyaldein Salih, Abdelnasser Saber Mohamed

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