FEED2SEARCH: a framework for hybrid-molecule based semantic search
- DOI
- 10.1080/03081079.2023.2195173
- Published
- 2023-04-24
- Container
- International Journal of General Systems
- Publisher
- Not recorded
- Open access
- no
Credibility signals
limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1080/03081079.2023.2195173,
title = {FEED2SEARCH: a framework for hybrid-molecule based semantic search},
author = {Nathalie Charbel and Christian Sallaberry and Sébastien Laborie and Richard Chbeir},
year = {2023},
journal = {International Journal of General Systems},
doi = {10.1080/03081079.2023.2195173},
url = {https://doi.org/10.1080/03081079.2023.2195173}
}RIS
TY - JOUR TI - FEED2SEARCH: a framework for hybrid-molecule based semantic search AU - Nathalie Charbel AU - Christian Sallaberry AU - Sébastien Laborie AU - Richard Chbeir PY - 2023 JO - International Journal of General Systems DO - 10.1080/03081079.2023.2195173 UR - https://doi.org/10.1080/03081079.2023.2195173 ER -
APA
Charbel, N., Sallaberry, C., Laborie, S., & Chbeir, R. (2023). FEED2SEARCH: a framework for hybrid-molecule based semantic search. International Journal of General Systems. https://doi.org/10.1080/03081079.2023.2195173
Source records
- hal · retrieved 2026-09-26T07:43:00.448Z