, Volume 111, Issue 3, pp 1875–1878 | Cite as

Scientometrics for tech mining: an introduction

  • Yi Zhang
  • Alan L. Porter
  • Denise Chiavetta
Tech mining, a special form of “Big Data” analytics, aims to generate Competitive Technical Intelligence (CTI) using bibliometric and text mining software (e.g., VantagePoint, TDA), as well as other analytical and visualization applications, for analyses of Science, Technology & Innovation (ST&I) information resources. The big data boom challenges tech mining. How to advance tech mining techniques to devise CTI from scalable ST&I data and how to address real-world ST&I concerns using such CTI have emerged as issues. Under this circumstance, the development of tech mining has evolved in two directions:
  1. 1.

    Combining scientometrics with information technologies (e.g., probabilistic methods, machine learning, network analysis, and prediction models) are increasingly used together for tech mining studies; and

  2. 2.

    The establishment of cross-disciplinary networks, with data analysts, academic researchers, policymakers, and industrial partners, to promote tech mining applications.




Leishmaniasis Link Prediction Bibliometric Indicator Lexical Analysis Tech Mining 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© Akadémiai Kiadó, Budapest, Hungary 2017

Authors and Affiliations

  1. 1.Faculty of Engineering and Information Technology, Centre for Artificial IntelligenceUniversity of Technology SydneySydneyAustralia
  2. 2.Technology Policy and Assessment CentreGeorgia Institute of TechnologyAtlantaUSA
  3. 3.Search Technology, Inc.NorcrossUSA

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