Welcome to the InfoSci Platform
A Unified Approach for Taxonomy-Based Technology Forecasting

A Unified Approach for Taxonomy-Based Technology Forecasting

Andreas Henschel, Erik Casagrande, Wei Lee Woon, Isam Janajreh, Stuart Madnick
Copyright: © 2012 |Pages: 20
ISBN13: 9781613500385|ISBN10: 1613500386|EISBN13: 9781613500392
DOI: 10.4018/978-1-61350-038-5.ch008
Cite Chapter Cite Chapter

MLA

Henschel, Andreas, et al. "A Unified Approach for Taxonomy-Based Technology Forecasting." Business Intelligence Applications and the Web: Models, Systems and Technologies, edited by Marta E. Zorrilla, et al., IGI Global, 2012, pp. 178-197. https://doi.org/10.4018/978-1-61350-038-5.ch008

APA

Henschel, A., Casagrande, E., Woon, W. L., Janajreh, I., & Madnick, S. (2012). A Unified Approach for Taxonomy-Based Technology Forecasting. In M. Zorrilla, J. Mazón, Ó. Ferrández, I. Garrigós, F. Daniel, & J. Trujillo (Eds.), Business Intelligence Applications and the Web: Models, Systems and Technologies (pp. 178-197). IGI Global. https://doi.org/10.4018/978-1-61350-038-5.ch008

Chicago

Henschel, Andreas, et al. "A Unified Approach for Taxonomy-Based Technology Forecasting." In Business Intelligence Applications and the Web: Models, Systems and Technologies, edited by Marta E. Zorrilla, et al., 178-197. Hershey, PA: IGI Global, 2012. https://doi.org/10.4018/978-1-61350-038-5.ch008

Export Reference

Mendeley
Favorite

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.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.