Semantic Distances for Technology Landscape Visualization
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2008-04.pdf
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Author(s)
Madnick, Stuart
Woon, Wei Lee
Date Issued
August 25, 2008
Publisher
Cambridge, MA; Alfred P. Sloan School of Management, Massachusetts Institute of Technology
Series/Report no.
MIT Sloan School Working Paper;4711-08
CISL Working Paper;2008-04
Abstract
This paper presents a novel approach to the visualization
and subsequent elucidation of research domains in science and technology.
The proposed methodology is based on the use of bibliometrics; i.e.,
analysis is conducted using information regarding trends and patterns of
publication rather than the contents of these publications. In particular,
we explore the use of term co-occurence frequencies as an indicator of the
semantic closeness between pairs of words or phrases. To demonstrate the
utility of this approach, a case study on renewable energy technologies
is conducted, where the above techniques are used to visualize the interrelationships
within a collection of energy-related keywords. As these are
regarded as manifestations of the underlying research topics, we contend
that the proposed visualizations can be interpreted as representations
of the underlying technology landscape. These techniques have many
potential applications, but one interesting challenge in which we are
particularly interested is the mapping and subsequent prediction of future
developments in the technological fields being studied.
Subjects
landscape visualization
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