Abstract
Bibliometrics has been used to produce measures of
knowledge flows between scholarly literature and patents,
most notably by using the non-patent literature citation
in patents. Existing methods offer a obstructed and
narrow view of interplay between science and technology.
This study complements existing methods by analyzing the
semantic similarity of patents and publications in the
context of Finland, uncovering thematic overlap between
science and technology. The study uses Latent Dirichlet
Allocations to analyze 185 931 patent and publication
records in a merged corpus. The data spans patents
(USPTO) and publications (WOS) with one or more Finnish
author or inventor. The approach enabled the discovery of
patent and publication links between documents without an
explicit citation between the documents. This suggests
that the method could complement existing approaches to
science and technology mapping by producing a novel
vantage point to the issue.
Original language | English |
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Publication status | Published - 2017 |
Event | Atlanta Conference on Science and Innovation Policy 2015 - Atlanta, United States Duration: 17 Sept 2015 → 19 Sept 2015 Conference number: 6 |
Conference
Conference | Atlanta Conference on Science and Innovation Policy 2015 |
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Country/Territory | United States |
City | Atlanta |
Period | 17/09/15 → 19/09/15 |