From Code to Concept: A Semantic Approach to AI Innovation Discovery in Open Source Software Repositories

From Code to Concept: A Semantic Approach to AI Innovation Discovery in Open Source Software Repositories

Artificial Intelligence (AI) is a transformative force driving innovation, yet tracking AI-related advancements remains challenging due to the rapid pace of development and unstructured data from platforms like GitHub. This paper proposes an AI-driven approach to innovation detection, leveraging Git...

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Bibliographic Details
Main Authors: Inna Novalija, Dumitru Roman, Federico Belotti, Vladimir Alexiev, Luis Rei, Roberto Avogadro, Babak Khalilvandian, Boyan Bechev, Catalina Alexandra Chinie, Iulia Ciurea, Janez Brank, Cosmin Udroiu, Ahmet Soylu, Matteo Palmonari
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Artificial intelligence
data mining
text mining
time series analysis
Online Access:https://ieeexplore.ieee.org/document/11083599/
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https://ieeexplore.ieee.org/document/11083599/

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