Machine-Actionable Data Management Plans: A Knowledge Retrieval Approach to Automate the Assessment of Funders' Requirements.
João Cardoso|Diogo Proença|José Borbinha
| Anthology ID: | DBLP:conf/ecir/CardosoPB20 |
|---|---|
| Volume: | Advances in Information Retrieval - 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14-17, 2020, Proceedings, Part II |
| Year: | 2020 |
| Venue: | European Conference on Advances in Information Retrieval (ECIR) |
| Publisher: | Springer |
| Pages: | 118-125 |
| URL: | https://doi.org/10.1007/978-3-030-45442-5_15 |
| DOI: | https://doi.org/10.1007/978-3-030-45442-5_15 |
| DBLP: | conf/ecir/CardosoPB20 |
| BibTeX: |
@inproceedings{cardoso-2020-machineactionable,
author = {Jo\~{a}o Cardoso and
Diogo Proen\c{c}a and
Jos\'{e} Borbinha},
editor = {Joemon M. Jose and
Emine Yilmaz and
Jo\~{a}o Magalh\~{a}es and
Pablo Castells and
Nicola Ferro and
M\'{a}rio J. Silva and
Fl\'{a}vio Martins},
title = {{Machine-Actionable Data Management Plans: A Knowledge Retrieval Approach to Automate the Assessment of Funders' Requirements}},
booktitle = {{Advances in Information Retrieval - 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14-17, 2020, Proceedings, Part II}},
series = {Lecture Notes in Computer Science},
volume = {12036},
pages = {118--125},
publisher = {Springer},
year = {2020},
url = {https://doi.org/10.1007/978-3-030-45442-5_15},
doi = {https://doi.org/10.1007/978-3-030-45442-5_15}
}