Int. J. of Intercultural Information Management   »   2009 Vol.1, No.4

 

 

Title: Automatically extracting multilingual information to support international business decision making

 

Author: Jody Strong, Surma Mukhopadhyay, Sumali Conlon

 

Addresses:
Department of Management Information Systems, School of Business Administration, University of Mississippi, Oxford, MS 38677, USA.
Department of Management Information Systems, School of Business Administration, University of Mississippi, Oxford, MS 38677, USA.
Department of Management Information Systems, School of Business Administration, University of Mississippi, Oxford, MS 38677, USA

 

Abstract: Corporate decision makers can gain competitive advantage if they have comprehensive information. This information can be found in many forms and from many sources nationally and internationally. Searching and gathering of this information is time consuming and labour intensive. In this research, we propose a technique to automatically perform these tasks using text mining tools that search, translate and extract information from online documents. Updated information produced by these tools will be current and accessible by all levels of management.

 

Keywords: cross-language information retrieval; CLIR; environmental scanning; information extraction; machine translation; multilingual information; international business; decision making; text mining; online documents; e-documents; electronic documentation; intercultural information maangement.

 

DOI: 10.1504/IJIIM.2009.025941

 

Int. J. of Intercultural Information Management, 2009 Vol.1, No.4, pp.359 - 374

 

Available online: 25 May 2009

 

 

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