Detecting Mismatches between a User's and an Expert's Conceptualisations
Detecting Mismatches between a User's and an Expert's Conceptualisations
 
  The work presented in this paper is part of our ongoing research on applying commonsense reasoning to elicit and maintain models that represent users' conceptualisations. Such user models will enable taking into account the users' perspective of the world and will empower personalisation algorithms for the Semantic Web. A formal approach for detecting mismatches between a user's and an expert's conceptual model is outlined. The formalisation is used as the basis to develop algorithms to compare two conceptualisations defined in OWL. The algorithms are illustrated in a geographical domain using a space ontology developed at NASA, and have been tested by simulating possible user misconceptions.
  ontology, semantic web, description logic
  
    
      Huang, Yongjian
      
        4efd1318-e403-4345-adf7-63129906fb8e
      
     
  
    
      Dimtrova, Vania
      
        758dcc5b-9b01-479d-94da-77f1004ab451
      
     
  
    
      Agarwal, Pragya
      
        ed1ccb96-0ce4-494f-b1b4-5dd0a453a1c7
      
     
  
  
   
  
  
    
      2005
    
    
  
  
    
      Huang, Yongjian
      
        4efd1318-e403-4345-adf7-63129906fb8e
      
     
  
    
      Dimtrova, Vania
      
        758dcc5b-9b01-479d-94da-77f1004ab451
      
     
  
    
      Agarwal, Pragya
      
        ed1ccb96-0ce4-494f-b1b4-5dd0a453a1c7
      
     
  
       
    
 
  
    
      
  
  
  
  
    Huang, Yongjian, Dimtrova, Vania and Agarwal, Pragya
  
  
  
  
   
    (2005)
  
  
    
    Detecting Mismatches between a User's and an Expert's Conceptualisations.
  
  
  
  
    
    
    
      
        
   
  
    Workshop on Personalisation for the Semantic Web PerSWeb05 at 10th International Conference on User Modeling, Edinburgh, United Kingdom.
   
        
        
        24 - 30  Jul 2005.
      
    
  
  
  
  
  
  
  
  
   
  
    
      Record type:
      Conference or Workshop Item
      (Paper)
      
      
    
   
    
    
      
        
          Abstract
          The work presented in this paper is part of our ongoing research on applying commonsense reasoning to elicit and maintain models that represent users' conceptualisations. Such user models will enable taking into account the users' perspective of the world and will empower personalisation algorithms for the Semantic Web. A formal approach for detecting mismatches between a user's and an expert's conceptual model is outlined. The formalisation is used as the basis to develop algorithms to compare two conceptualisations defined in OWL. The algorithms are illustrated in a geographical domain using a space ontology developed at NASA, and have been tested by simulating possible user misconceptions.
         
      
      
        
          
            
  
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 12-Huang-full.pdf
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      Published date: 2005
 
    
  
  
    
  
    
     
        Additional Information:
        Event Dates: July 24 - 30, 2005
      
    
  
    
     
        Venue - Dates:
        Workshop on Personalisation for the Semantic Web PerSWeb05 at 10th International Conference on User Modeling, Edinburgh, United Kingdom, 2005-07-24 - 2005-07-30
      
    
  
    
  
    
  
    
     
        Keywords:
        ontology, semantic web, description logic
      
    
  
    
     
        Organisations:
        Electronics & Computer Science
      
    
  
    
  
  
        Identifiers
        Local EPrints ID: 261488
        URI: http://eprints.soton.ac.uk/id/eprint/261488
        
        
        
        
          PURE UUID: b8b69a91-651a-4cc2-951d-f563a4015a46
        
  
    
        
          
        
    
        
          
        
    
        
          
        
    
  
  Catalogue record
  Date deposited: 18 Oct 2005
  Last modified: 14 Mar 2024 06:53
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      Contributors
      
          
          Author:
          
            
            
              Yongjian Huang
            
          
        
      
          
          Author:
          
            
            
              Vania Dimtrova
            
          
        
      
          
          Author:
          
            
            
              Pragya Agarwal
            
          
        
      
      
      
    
  
   
  
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