Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

AI-assisted patent prior art searching - feasibility study

Setchi, Rossi and Spasic, Irena 2020. AI-assisted patent prior art searching - feasibility study. The Intellectual Property Office. Available at: https://www.gov.uk/government/publications/ai-assi...

[img] PDF - Published Version
Download (2MB)

Abstract

This study seeks to understand the feasibility, technical complexities and effectiveness of using artificial intelligence (AI) solutions to improve operational processes of registering IP rights. The Intellectual Property Office commissioned Cardiff University to undertake this research. The research was funded through the BEIS Regulators’ Pioneer Fund (RPF). The RPF fund was set up to help address barriers to innovation in the UK economy.

Item Type: Monograph (UNSPECIFIED)
Date Type: Publication
Status: Published
Schools: Engineering
Computer Science & Informatics
Data Innovation Research Institute (DIURI)
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Publisher: The Intellectual Property Office
ISBN: 9781910790809
Date of First Compliant Deposit: 4 June 2020
Last Modified: 31 Jul 2020 15:59
URI: http://orca.cf.ac.uk/id/eprint/132108

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics