Technology mining
Tech mining or technology mining refers to applying text mining methods to technical documents. For patent analysis purposes, it is named ‘patent mining’. Porter, as one of the pioneers in technology mining, defined ‘tech mining’ in his book[1] as follows: “the application of text mining tools to science and technology information, informed by understanding of technological innovation processes.” Therefore, tech mining has two significant characteristics: 1) using ‘text mining tools’, 2) applying these tools to ‘technology management’. Also, technology mining can be considered as one of technology intelligence branches.
Overview
Essential steps in doing Tech Mining include formulating a sharp research question to be addressed. Devising a strong search query to identify pertinent Research and Development (R&D) papers or patents is vital. While Tech Mining is primarily empirical, engaging topical experts really helps guide the study and interpret empirical findings.
Tech Mining employs analytical tools drawn from bibliometrics and text mining to answer “4 W” questions: Who? What? Where? and When? concerning a technical topic under study. For example, colleagues have addressed nanotechnology, solar cells, advanced drug delivery, and big data. Journal special issues have focused on Tech Mining or related topics. A rich compilation of Tech Mining studies is available at the VPInstitute website [see: www.vpinstitute.org].
Tech Mining can contribute to various technology management and science policy interests. It can offer “who’s doing what” competitive technical intelligence. Research profiling can inform researchers and R&D program managers of opportunities. Another important role is to inform future-oriented technology analyses.
Applications
Technology mining have many applications including R&D portfolio selection, R&D project initiation, new product development, strategic technology planning, technology roadmapping, etc.[2] Tech miner should communicate closely with target users what technological issue they have, and how they want to address the issues. The number of published papers and the number of citations in technology mining area illustrates a hyperbolically progress; there is a jump in the number of publications after 2005 and a huge rise in the number of citations after 2012.[3]
Notes
1. ^ “Patterns formed by a single shot of malt”. thevantagepoint.com. Retrieved February 16, 2014.
2. O’Brien, J.J., Carley, S., and Porter, A.L., Keyword field cleaning through ClusterSuite: A term-clumping tool for VantagePoint software, Global Tech Mining Conference, Atlanta, September, 2013.
3. ^ Google Earth. Google Earth. Retrieved February 16, 2014.
4. ^ VantagePoint Institute. Search Technology. Retrieved February 16, 2014.
5. O’Brien, J.J., Carley, S., and Porter, A.L., Keyword field cleaning through ClusterSuite: A term-clumping tool for VantagePoint software, Global Tech Mining Conference, Atlanta, September, 2013.
6. ^ VantagePoint. Search Technology. Retrieved February 16, 2014.
7. Ibid.
References
O’Brien, J.J., Carley, S., and Porter, A.L., Keyword field cleaning through ClusterSuite: A term-clumping tool for VantagePoint software, Global Tech Mining Conference, Atlanta, September, 2013.
Porter, Alan L. and Scott W. Cunningham. Tech Mining: Exploiting New Technologies for Competitive Advantage. Hoboken: Wiley, 2004. Print.
External Links
Global TechMining Conference
Tech Mining website
VantagePoint
VantagePoint Institute website
References
- ^ Porter, Alan L.; Cunninghum, Scott W. (2004). Tech Mining: Exploiting New Technologies for Competitive Advantage. Wiley. ISBN 978-0-471-47567-5.
- ^ Porter, Alan L. (2005). "Tech Mining" (PDF). Competitive Intelligence Magazine. 8: 30–37.
- ^ Madani, Farshad (2015). "'Technology Mining' bibliometrics analysis: applying network analysis and cluster analysis". Scientometrics. 105: 323–335.
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