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A Unified Approach for Taxonomy-Based Technology Forecasting

Abstract: 
"For decision makers and researchers working in a technical domain, understanding the state of their area of interest is of the highest importance. For this reason, we consider in this chapter, a novel framework for Web-based technology forecasting using bibliometrics (i.e. the analysis of information from trends and patterns of scientific publications). The proposed framework consists of a few conceptual stages based on a data acquisition process from bibliographic online repositories: extraction of domain relevant keywords, the generation of taxonomy of the research field of interests and the development of early growth indicators which helps to find interesting technologies in their first phase of development. To provide a concrete application domain for developing and testing our tools, we conducted a case study in the field of renewable energy and in particular one of its subfields: Waste-to-Energy (W2E). The results on this particular research domain confirm the benefit of our approach."
Author: 
Andreas Henschel, Erik Casagrande, Wei Lee Woon, Isam Janajreh, and Stuart Madnick
Institution: 
Masdar Institute of Science and Technology, UAE; MIT
Year: 
2014
Input By: 
Elizabeth Nigro
Affiliation: 
MIT
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Bibliographies & Reports