Toward an improved concept-based information retrieval system
                  September 9, 2001
      
      
  
    
                  Conference Paper
      
      
  
    Author:
  
      Published in:
  
      Proc. of the 24th Annual ACM SIGIR Conf. on Research and Development in Information Retrieval, 9-13 September 2001, pp. 384-385.
      
  
    R&D Area:
  
            
  
    Summary
              This paper presents a novel information retrieval system that includes 1) the addition of concepts to facilitate the identification of the correct word sense, 2) a natural language query interface, 3) the inclusion of weights and penalties for proper nouns that build upon the Okapi weighting scheme, and 4) a term clustering technique that exploits the spatial proximity of search terms in a document to further improve the performance. The effectiveness of the system is validated by experimental results.
          