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Treffer: How to combine term clumping and technology roadmapping for newly emerging science & technology competitive intelligence: problem & solution pattern based semantic TRIZ tool and case study

Title:
How to combine term clumping and technology roadmapping for newly emerging science & technology competitive intelligence: problem & solution pattern based semantic TRIZ tool and case study
Authors:
YI ZHANG, XIAO ZHOU, PORTER, Alan L, GOMILA, Jose M. Vicente
Source:
Selected Papers of the 14th International Conference of the International Society for Scientometrics and Informetrics (ISSI), July 15-19, 2013, Vienna, AustriaScientometrics (Print). 101(2):1375-1389
Publisher Information:
Dordrecht: Springer, 2014.
Publication Year:
2014
Physical Description:
print, 1 p.1/4
Original Material:
INIST-CNRS
Subject Terms:
Information and communication sciences, Sciences de l'information communication, Documentation, Sciences exactes et technologie, Exact sciences and technology, Sciences et techniques communes, Sciences and techniques of general use, Sciences de l'information. Documentation, Information science. Documentation, Sciences de l'information et des bibliothèques. Etude d'ensemble, Library and information science. General aspects, Bibliométrie. Scientométrie. Evaluation, Bibliometrics. Scientometrics. Evaluation, Sciences de l'information et de la communication, Information and communication sciences, Bibliométrie. Scientométrie, Bibliometrics. Scientometrics, Analyse bibliométrique, Bibliometric analysis, Análisis bibliométrico, Bibliométrie, Bibliometrics, Bibliometría, Fouille texte, Text mining, Explotacion texto, Recherche et développement, Research and development, Investigación desarrollo, Recherche scientifique, Scientific research, Investigación científica, DSSCs, Semantic TRIZ, Technology roadmapping
Document Type:
Konferenz Conference Paper
File Description:
text
Language:
English
Author Affiliations:
School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China
Technology Policy & Assessment Center, Georgia Institute of Technology, Atlanta, GA, United States
Search Technology, Inc., Norcross, GA, United States
Universitat Politecnica de Valencia, Valencia, Spain
ISSN:
0138-9130
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=28892110
Rights:
Copyright 2015 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Sciences of information and communication. Documentation

FRANCIS
Accession Number:
edscal.28892110
Database:
PASCAL Archive

Weitere Informationen

Competitive technical intelligence addresses the landscape of both opportunities and competition for emerging technologies, as the boom of newly emerging science & technology (NEST)—characterized by a challenging combination of great uncertainty and great potential—has become a significant feature of the globalized world. We have been focusing on the construction of a NEST Competitive Intelligence methodology that blends bibliometric and text mining methods to explore key technological system components, current R&D emphases, and key players for a particular NEST. This paper emphasizes the semantic TRIZ approach as a useful tool to process Term Clumping results to retrieve problem & solution (P&S) patterns, and apply them to technology roadmapping. We attempt to extend our approach into NEST Competitive Intelligence studies by using both inductive and purposive bibliometric approaches. Finally, an empirical study for dye-sensitized solar cells is used to demonstrate these analyses.