A Unified Approach for Taxonomy-based Technology Forecasting
Name
esd-wp-2014-29.pdf
Size
1.45 MB
Format
Adobe PDF
Checksum (MD5)
e22d621c70ee998c68533bdc7c49e81d
Author(s)
Henschel, Andreas
Casagrande, Erik
Woon, Wei Lee
Janajreh, Isam
Madnick, Stuart E.
Date Issued
August 2014
Publisher
Massachusetts Institute of Technology. Engineering Systems Division
Series/Report no.
ESD Working Papers;ESD-WP-2014-29
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 domainrelevant 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.
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