Fusion: Practice and Applications
  FPA
  2692-4048
  2770-0070
  
   10.54216/FPA
   https://www.americaspg.com/journals/show/2690
  
 
 
  
   2018
  
  
   2018
  
 
 
  
   Intelligent Problem Solver in Database Systems based on Ontology Integration through Text-to-SQL
  
  
   Faculty of Information System, University of Information Technology, Ho Chi Minh city, Vietnam; Vietnam National University, Ho Chi Minh city, Vietnam
   
    Hung
    Hung
   
   Faculty of Information Technology, Ho Chi Minh University of Education, Ho Chi Minh City, Vietnam
   
    Hung
    Nguyen
   
   Campus in Ho Chi Minh City, University of Transport and Communications, Vietnam
   
    Nha P.
    ..
   
   Faculty of Information System, University of Information Technology, Ho Chi Minh city, Vietnam; Vietnam National University, Ho Chi Minh city, Vietnam
   
    Sang
    ..
   
   Faculty of Computer Science, University of Information Technology, Ho Chi Minh city, Vietnam; Vietnam National University, Ho Chi Minh city, Vietnam
   
    Hien D.
    Nguyen
   
  
  
   The knowledge of courses can be represented by using ontology to create intelligent educational systems. This study proposes the Onto-Linking model as a knowledge framework that expresses the knowledge of the inputted schema to investigate the schema linking problem of the Text-to-SQL model. It combines the ontology with the structure of the schema. The proposed ontology is utilized to encapsulate the semantics of the intellectual elements of the schema, such as the table names, column names, foreignprimary key restrictions, and information about the probing schema connection. Therefore, the model makes it easier to accurately translate natural language questions into SQL queries. It improves query creation, helps with error handling, and supports query validation by helping the model better grasp the query's intent. The outcomes of the pedagogically oriented model aimed at guiding learners to comprehend the process of reasoning to attain the respective solution.
  
  
   2024
  
  
   2024
  
  
   121
   131
  
  
   10.54216/FPA.150211
   https://www.americaspg.com/articleinfo/3/show/2690