Work

Identifying technology clusters based on automated patent landscaping

Year: 2023

Type: article

Abstract: We introduce a new general methodological approach for accurately and consistently retrieving a large set of patents related to specific technologies. We build upon the automated patent landscaping algorithm by incorporating a tractable amount of human supervision to improve the accuracy and consistency of our results. We demonstrate the efficacy of our approach by applying it to six novel and representative technologies: additive manufacturing, blockchain, computer vision, genome editing, hydrogen storage, and self-driving vehicles.

Source: PLoS ONE

DOI: 10.1371/journal.pone.0295587

Authors: Bergeaud Antonin, Verluise Cyril

Institutions: HEC Paris, Collège de France, Paris School of Economics

Language: English

Topic: Intellectual Property and Patents

Subfield: Management of Technology and Innovation

Field: Business, Management and Accounting

Domain: Social Sciences

SDG: Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $1,805