From Code to Concept: A Semantic Approach to AI Innovation Discovery in Open Source Software Repositories
- DOI
- 10.1109/access.2025.3590135
- Published
- 2025
- Container
- IEEE Access
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1109/access.2025.3590135,
title = {From Code to Concept: A Semantic Approach to AI Innovation Discovery in Open Source Software Repositories},
author = {Inna Novalija and Dumitru Roman and Federico Belotti and Vladimir Alexiev and Luis Rei and Roberto Avogadro and Babak Khalilvandian and Boyan Bechev and Catalina Alexandra Chinie and Iulia Ciurea and Janez Brank and Cosmin Udroiu and Ahmet Soylu and Matteo Palmonari},
year = {2025},
journal = {IEEE Access},
doi = {10.1109/access.2025.3590135},
url = {https://doi.org/10.1109/access.2025.3590135}
}RIS
TY - JOUR TI - From Code to Concept: A Semantic Approach to AI Innovation Discovery in Open Source Software Repositories AU - Inna Novalija AU - Dumitru Roman AU - Federico Belotti AU - Vladimir Alexiev AU - Luis Rei AU - Roberto Avogadro AU - Babak Khalilvandian AU - Boyan Bechev AU - Catalina Alexandra Chinie AU - Iulia Ciurea AU - Janez Brank AU - Cosmin Udroiu AU - Ahmet Soylu AU - Matteo Palmonari PY - 2025 JO - IEEE Access DO - 10.1109/access.2025.3590135 UR - https://doi.org/10.1109/access.2025.3590135 ER -
APA
Novalija, I., Roman, D., Belotti, F., Alexiev, V., Rei, L., Avogadro, R., Khalilvandian, B., Bechev, B., Chinie, C. A., Ciurea, I., Brank, J., Udroiu, C., Soylu, A., & Palmonari, M. (2025). From Code to Concept: A Semantic Approach to AI Innovation Discovery in Open Source Software Repositories. IEEE Access. https://doi.org/10.1109/access.2025.3590135
Source records
- crossref · retrieved 2026-09-25T11:17:45.534Z