|
Title:
|
OVERVIEW OF USAGE OF OPEN GOVERNMENT DATA IN BUILDING MACHINE LEARNING AND AI SOLUTIONS: A SYSTEMATIC LITERATURE REVIEW |
|
Author(s):
|
Sara Kijanovic, Sara Koprivica, Davide Taibi, Aleksandar Ivic, Darko Stefanovic and Aleksa Komosar |
|
ISBN:
|
978-989-8704-56-6 |
|
Editors:
|
Miguel Baptista Nunes, Pedro Isaías and Philip Powell |
|
Year:
|
2024 |
|
Edition:
|
Single |
|
Keywords:
|
Open Government Data, Open Data, Artificial Intelligence, Machine Learning, Literature Review |
|
Type:
|
Short |
|
First Page:
|
179 |
|
Last Page:
|
183 |
|
Language:
|
English |
|
Cover:
|
|
|
Full Contents:
|
if you are a member please login 
|
|
Paper Abstract:
|
This paper provides a systematic literature review on integrating Open Government Data (OGD) with machine learning (ML) and artificial intelligence (AI) solutions. OGD refers to publicly accessible data produced or collected by governmental entities, promoting transparency and citizen engagement. The paper explores the application of OGD in various social development domains, highlighting its potential impact. It also highlights the difficulties and challenges that researchers face. The findings suggest that leveraging OGD in ML and AI has the potential to drive innovation, improve decision-making, and foster inclusive development across sectors. The review emphasizes the importance of responsible practices in utilizing OGD for ML and AI purposes. |
|
|
|
|
|
|
