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

Julián D. Cortés, María Catalina Ramírez-Cajiao

Producción científica: Capítulo en Libro/ReporteContribución a la conferencia

Resumen

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.

Idioma originalInglés estadounidense
Título de la publicación alojadaWisdom, Well-Being, Win-Win - 19th International Conference, iConference 2024, Proceedings
EditoresIsaac Sserwanga, Hideo Joho, Jie Ma, Preben Hansen, Dan Wu, Masanori Koizumi, Anne J. Gilliland
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas122-130
Número de páginas9
ISBN (versión impresa)9783031578595
DOI
EstadoPublicada - 2024
Evento19th International Conference on Wisdom, Well-Being, Win-Win, iConference 2024 - Changchun, China
Duración: abr. 15 2024abr. 26 2024

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen14597 LNCS
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia19th International Conference on Wisdom, Well-Being, Win-Win, iConference 2024
País/TerritorioChina
CiudadChangchun
Período4/15/244/26/24

Áreas temáticas de ASJC Scopus

  • Ciencia computacional teórica
  • Ciencia de la Computación General

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