Matching Patent and Research Field Classifications Using Lexical Similarity and Bipartite Network—Evidence from Colombia

Julián D. Cortés, María Catalina Ramírez-Cajiao

Research output: Chapter in Book/ReportConference contribution

Abstract

Patentometrics in middle and low-income countries is an emergent field. Here, we propose a methodological appraisal which combines text mining (lexical similarity) and network science (bipartite network) to associate the inventive structure of research and patents by matching classification standards in a middle-income country, Colombia, as a pilot study. We sourced and processed a sample of 2900+ patents and 42,800+ research articles. First, we matched two research and patenting classification standards using lexical similarity and modeled their connections using a bi-partite network. Based on this matching, we identified frequent correspondence between the research fields and the patent sections. Then, we estimated the correlation between research and patenting output-proxy as a national inventive and scientific capacity. There is no overall significant relationship between inventive and scientific capacities. Global and local factors, such as the growth of knowledge specialization or bypassing the path dependency of science and inventive capacities, shed light on this misalignment.

Original languageEnglish (US)
Title of host publicationWisdom, Well-Being, Win-Win - 19th International Conference, iConference 2024, Proceedings
EditorsIsaac Sserwanga, Hideo Joho, Jie Ma, Preben Hansen, Dan Wu, Masanori Koizumi, Anne J. Gilliland
PublisherSpringer Science and Business Media Deutschland GmbH
Pages122-130
Number of pages9
ISBN (Print)9783031578595
DOIs
StatePublished - 2024
Event19th International Conference on Wisdom, Well-Being, Win-Win, iConference 2024 - Changchun, China
Duration: Apr 15 2024Apr 26 2024

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14597 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference19th International Conference on Wisdom, Well-Being, Win-Win, iConference 2024
Country/TerritoryChina
CityChangchun
Period4/15/244/26/24

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science

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