Analysis of document-mining techniques and tools for technology intelligence: discovering knowledge from technical documents. (2012)

• Record Type: Journal Article
• Authors: Lee, Sungjoo; Mortara, Letizia; Kerr, Clive; Phaal, Robert; Probert, David
• Is Part Of: International journal of technology management. Volume 60:Number 1/2(2012)
• Page Start: 130
• Page End: 156
• Publication Date: 2012
• Subjects: 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; Technology -- Management -- Periodicals; 658.4062
• Languages: English
• ISSNs: 0267-5730

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.