Measuring technology maturity : operationalizing information from patents, scientific publications, and the web
著者
書誌事項
Measuring technology maturity : operationalizing information from patents, scientific publications, and the web
（Forschungs-/Entwicklungs-/Innovations-Management / herausgegeben von H.D. Bürgel ... [et al.]）（Research）
Springer Gabler, c2016
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注記
"Dissertation, Universität Bremen, 2015"--T.p. verso
Includes bibliographical references (p. 251-274)
内容説明・目次
内容説明
Till Albert presents a
machine learning based approach to harnessing information contained in big data
from different media sources such as patents, scientific publications, or the
internet. He shows how this information can be used for automated maturity
evaluation of yet unknown technologies. Elaborate patent based indicators contain
very useful information on technological aspects of maturity but lack for
others such as social, economic, ecological, or political factors. The approach
presented in this book is able to incorporate these other factors and provide a
firm basis for robust technology maturity and speed of maturity evaluation.
目次
Information Scattering in Different Text Media.- Identifying Text Media
Suitable for Informetric Analyses and Deriving Relevant Indicator Values.- Using Machine Learning
to Gauge the Maturity Classification Performance of a Set of Indicators.- Representation,
Interpretation, and Utilization of Maturity Analysis Results.
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