Title: Analysis of document-mining techniques and tools for technology intelligence: discovering knowledge from technical documents

Authors: Sungjoo Lee; Letizia Mortara; Clive Kerr; Robert Phaal; David Probert

Addresses: Department of Industrial Engineering, Ajou University, San 5, Woncheon-dong, Yeongtong-gu Suwon-si, Gyeonggi-do, South Korea. ' Centre for Technology Management, University of Cambridge, Institute for Manufacturing, Alan Reece Building, 17 Charles Babbage Road, Cambridge, CB3 0FS, UK. ' Centre for Technology Management, University of Cambridge, Institute for Manufacturing, Alan Reece Building, 17 Charles Babbage Road, Cambridge, CB3 0FS, UK. ' Centre for Technology Management, University of Cambridge, Institute for Manufacturing, Alan Reece Building, 17 Charles Babbage Road, Cambridge, CB3 0FS, UK. ' Centre for Technology Management, University of Cambridge, Institute for Manufacturing, Alan Reece Building, 17 Charles Babbage Road, Cambridge, CB3 0FS, UK

Abstract: This research proposes a method for extracting technology intelligence (TI) systematically from a large set of document data. To do this, the internal and external sources in the form of documents, which might be valuable for TI, are first identified. Then the existing techniques and software systems applicable to document analysis are examined. Finally, based on the reviews, a document-mining framework designed for TI is suggested and guidelines for software selection are proposed. The research output is expected to support intelligence operatives in finding suitable techniques and software systems for getting value from document-mining and thus facilitate effective knowledge management.

Keywords: technology intelligence; TI; technological opportunities; technological threats; technical documents; document mining; data mining; software systems; knowledge management; KM; document data; internal sources; external sources; document analysis; software selection; research outputs; intelligence operatives; technology management.

DOI: 10.1504/IJTM.2012.049102

International Journal of Technology Management, 2012 Vol.60 No.1/2, pp.130 - 156

Accepted: 23 Mar 2012
Published online: 06 Apr 2013 *

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