Source Code of DA-FDM API for semi-automated subject indexing

DOI

This is the source code for the DA-FDM API. The API provides access to a backend model that generated automated subject indexing suggestions for research data based on textual input such as full texts, abstracts, or description fields. The API itself handles the communication and data exchange, while the underlying model performed the semantic analysis and concept mapping. The model suggested relevant concepts and classifications from established knowledge systems DFG Classification System, GND and Wikidata. This dataset includes the source code as well as the corresponding documentation.

Identifier
DOI https://doi.org/10.18419/DARUS-5505
Metadata Access https://darus.uni-stuttgart.de/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.18419/DARUS-5505
Provenance
Creator Meyer Broyn, Adriano
Publisher DaRUS
Contributor Meyer Broyn, Adriano
Publication Year 2025
Funding Reference Baden-Württemberg Ministry of Science, Research and Arts Az.: MWK42-7532-77/1/1
Rights GPL 3.0 or later; info:eu-repo/semantics/openAccess; https://www.gnu.org/licenses/gpl-3.0-standalone.html
OpenAccess true
Contact Meyer Broyn, Adriano (Eurospider Information Technology AG)
Representation
Resource Type Dataset
Format application/pdf; application/zip
Size 191534; 170400
Version 1.0
Discipline Other