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Anticipating Future Pathways of Science, Technologies, and Innovations: (Map of Science)2 Approach

  • Irina V. Efimenko
  • Vladimir F. Khoroshevsky
  • Ed. C. M. Noyons
Chapter
Part of the Innovation, Technology, and Knowledge Management book series (ITKM)

Abstract

Anticipating future pathways of Science, Technologies, and Innovations is a complex task in any R&D field and is even more challenging for the complex landscape of promising R&D directions in multiple fields. As a solution, this study analyzes research papers in Scientometrics and Technology mining. It presents an approach and text mining tools for building maps of science of a special kind which is called the Map of Science Squared. Nodes of maps corresponding to R&D fields and locations (e.g., as centers of excellence) are created, weighted, and coupled whenever possible based on processing full texts or abstracts of research papers. The questions to answer with this are as follows: (1) Do Scientometrics and Technology mining cover the full range of topics both in terms of breadth and depth? (2) Do research papers appear “at the right time,” i.e., just or soon after emergence of a topic? (3) Do researchers link R&D fields in non-traditional ways through their studies? (4) What fields are locally bound? (5) What conclusions on future pathways of Science, Technologies, and Innovations can be drawn on the basis of the analysis of the Scientometrics and Technology mining agenda?

Keywords

Map of science Emerging ​R&D fields Scientometrics Technology mining Text mining Semantic technologies Ontology 

Notes

Acknowledgments

This research is partially supported by the Russian Foundation for Basic Research, grant № 15-01-06819, “Research and Development of Ontological Models of the Centers of Excellence/Competence in the Emerging Areas of Science and Technology and their Identification Based on Heterogeneous Information Sources Processing.”

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Irina V. Efimenko
    • 1
  • Vladimir F. Khoroshevsky
    • 2
  • Ed. C. M. Noyons
    • 3
  1. 1.Higher School of EconomicsNational Research UniversityMoscowRussia
  2. 2.Dorodnitsyn Computing Center, Federal Research Center Computer Science and Control of RASMoscowRussia
  3. 3.Centre for Science and Technology StudiesLeiden UniversityLeidenThe Netherlands

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