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TechMaps: exploring technology relationships through patent information based proximity
Our work provides a novel method for rich information discovery about the evolution of technical fields and company developments through patent relationships. A new exploratory method and graphical tool to discover technology proximity based on patent classification information are introduced. By te...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10354631/ https://www.ncbi.nlm.nih.gov/pubmed/37476020 http://dx.doi.org/10.3389/frma.2023.1096226 |
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author | Perez-Molina, Eduardo Loizides, Fernando |
author_facet | Perez-Molina, Eduardo Loizides, Fernando |
author_sort | Perez-Molina, Eduardo |
collection | PubMed |
description | Our work provides a novel method for rich information discovery about the evolution of technical fields and company developments through patent relationships. A new exploratory method and graphical tool to discover technology proximity based on patent classification information are introduced. By technology we mean a technical field (defined by an International Patent Classification—IPC—code or a combination of them) or an organization (such as a tech company, research center, or institution). A single data structure is used for characterizing both technical fields and organizations, to visualize them as items of the very same body. This new method generates two graphs: the first graph, the TechnologyMap, visualizes technology items in a 2D plot wherein technical fields and companies will appear positioned relative to each other; the. A second graph, the Focused TechnologyMap, visualizes technology items with respect to a selected one, the focus, which is located in the center of a circle whose radii correspond to the complete set of IPC codes. This article represents the process and algorithms used for production of the graphs, and solidifies the assumptions of validity by presenting two of the many successful test cases to which it was applied. |
format | Online Article Text |
id | pubmed-10354631 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-103546312023-07-20 TechMaps: exploring technology relationships through patent information based proximity Perez-Molina, Eduardo Loizides, Fernando Front Res Metr Anal Research Metrics and Analytics Our work provides a novel method for rich information discovery about the evolution of technical fields and company developments through patent relationships. A new exploratory method and graphical tool to discover technology proximity based on patent classification information are introduced. By technology we mean a technical field (defined by an International Patent Classification—IPC—code or a combination of them) or an organization (such as a tech company, research center, or institution). A single data structure is used for characterizing both technical fields and organizations, to visualize them as items of the very same body. This new method generates two graphs: the first graph, the TechnologyMap, visualizes technology items in a 2D plot wherein technical fields and companies will appear positioned relative to each other; the. A second graph, the Focused TechnologyMap, visualizes technology items with respect to a selected one, the focus, which is located in the center of a circle whose radii correspond to the complete set of IPC codes. This article represents the process and algorithms used for production of the graphs, and solidifies the assumptions of validity by presenting two of the many successful test cases to which it was applied. Frontiers Media S.A. 2023-07-05 /pmc/articles/PMC10354631/ /pubmed/37476020 http://dx.doi.org/10.3389/frma.2023.1096226 Text en Copyright © 2023 Perez-Molina and Loizides. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Research Metrics and Analytics Perez-Molina, Eduardo Loizides, Fernando TechMaps: exploring technology relationships through patent information based proximity |
title | TechMaps: exploring technology relationships through patent information based proximity |
title_full | TechMaps: exploring technology relationships through patent information based proximity |
title_fullStr | TechMaps: exploring technology relationships through patent information based proximity |
title_full_unstemmed | TechMaps: exploring technology relationships through patent information based proximity |
title_short | TechMaps: exploring technology relationships through patent information based proximity |
title_sort | techmaps: exploring technology relationships through patent information based proximity |
topic | Research Metrics and Analytics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10354631/ https://www.ncbi.nlm.nih.gov/pubmed/37476020 http://dx.doi.org/10.3389/frma.2023.1096226 |
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