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

Irina V. Efimenko (), Vladimir F. Khoroshevsky () and Ed. C. M. Noyons ()
Additional contact information
Irina V. Efimenko: National Research University
Vladimir F. Khoroshevsky: Dorodnitsyn Computing Center, Federal Research Center Computer Science and Control of RAS
Ed. C. M. Noyons: Leiden University

Chapter Chapter 5 in Anticipating Future Innovation Pathways Through Large Data Analysis, 2016, pp 71-96 from Springer

Abstract: 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 (search for similar items in EconPapers)
Date: 2016
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:innchp:978-3-319-39056-7_5

Ordering information: This item can be ordered from
http://www.springer.com/9783319390567

DOI: 10.1007/978-3-319-39056-7_5

Access Statistics for this chapter

More chapters in Innovation, Technology, and Knowledge Management from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().