Query Operation Techniques and Roles of Ontology for Enhancing Information Retrieval

Authors

  • Ahmed Mahdi Abdulkadium Software Department, College of Information Technology, University of Babylon, Babylon, Iraq
  • Asaad Sabah Hadi Software Department, College of Information Technology, University of Babylon, Babylon, Iraq

Keywords:

Query expansion, query reformulation, ontology, information retrieval, semantic web.

Abstract

Recently, quick advancements in query operation techniques have been made in order to handle the massive volume of documents on the internet. Deep learning techniques are currently being widely used in machine learning algorithms, enabling the automatic extraction of desirable features as well as most relevant information. The current query operation models in this paper, place special emphasis on the data flow from input labels to outgoing text and the use of ontologies to improve retrieval operations. We focus on query expansion and reformulation techniques as well as the differences between earlier approaches and more contemporary approaches from current studies and projects.  For the purpose of addressing the issue of semantic comprehension, researchers present ontology in the information retrieval system.  Any information retrieval process aims to produce pertinent materials in response to user queries.

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Published

2024-02-19

How to Cite

Ahmed Mahdi Abdulkadium, & Asaad Sabah Hadi. (2024). Query Operation Techniques and Roles of Ontology for Enhancing Information Retrieval . Chinese Journal of Computational Mechanics, (5), 625–634. Retrieved from http://jslxxb.cn/index.php/jslxxb/article/view/4431

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Articles