Systems, Man, and Cybernetics

 

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• [P530] Development of a multilingual text mining approach for knowledge discovery in patents
  Author(s): Chung-Hong Lee
  
  

  Abstract
  In this paper we describe our work on developing a language-independent technique for discovery of implicit knowledge about patents from multilingual patent information sources. In this paper, we present a novel system platform to support locating similar and relevant multilingual patent documents. The platform is developed using a multilingual vector space based on the latent semantic indexing (LSI) model, and utilizing collected professional Chinese-English parallel corpora for training the system model. These multilingual patent documents can then be mapped into the semantic vector space for evaluating their similarity by means of text clustering techniques. The preliminary results show that our platform framework has potential for retrieval and relatedness evaluation of multilingual patent documents.

  
   

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