Skip to content

Commit

Permalink
Merge branch 'ISSA-2'
Browse files Browse the repository at this point in the history
  • Loading branch information
AnnaBobasheva committed Dec 14, 2023
2 parents 67d053e + d6abde1 commit 51f74d5
Show file tree
Hide file tree
Showing 182 changed files with 25,244 additions and 105,880 deletions.
71 changes: 35 additions & 36 deletions .gitignore
Original file line number Diff line number Diff line change
@@ -1,36 +1,35 @@
.cache
.git
__pycache__
.spyproject/
.pytest_cache
*.pyc
#docs/_build/
.ipynb_checkpoints/

**/logs/
**/output/
**/bak/
**/temp/
*.bak
*.log
*.out


/data
/volumes
/training
**/*_venv/

*.zip
*.gz
*.pdf
*.json
*.tsv
*.html
*.pkl
*.csv
*.xlsx

*.ttl
!*.tpl.ttl

.cache
.git
__pycache__
.spyproject/
.pytest_cache
*.pyc
#docs/_build/
.ipynb_checkpoints/

**/logs/
**/output/
**/bak/
**/temp/
*.bak
*.log
*.out


/data
/volumes
/training
**/*_venv/

*.zip
*.gz
*.pdf
*.json
*.tsv
*.html
*.pkl
*.csv
*.xlsx
*.pdf
*.pptx

124 changes: 62 additions & 62 deletions README.md
Original file line number Diff line number Diff line change
@@ -1,62 +1,62 @@
# ISSA Processing Pipeline

This repository contains the pipeline developed by the [ISSA](https://issa.cirad.fr/) project.
It orchestrates the automatic indexing of a scientific archive by extracting from the articles full-text thematic descriptors and named entities, and linking them with terminological resources in the Semantic Web format.

The repository consists of various tools, scripts and configuration files involved in each step of the pipeline:
- retrieve the articles metadata from the archive's API;
- download and pre-process the PDF files of the articles;
- process the output to extract thematic descriptors and named entities;
- translate the output of each treatment into a unified, consistent RDF dataset;
- upload the resulting dataset to a triple store equipped with a SPARQL endpoint.

These steps are summurized in the following diagram.

<img src="doc/pipeline_diagram.png" width="700" />


## Content

- [Processing pipeline](pipeline/)
- [Tools related to Docker containers and third-party datasets](environment/)
- [RDF modeling](doc/data-modeling.md)
- [RDF examples](doc/examples/)
- [Vocabulary definitions and RDF dataset description](dataset/)

## License

See the [LICENSE file](LICENSE).


## Cite this work

Toulet, Anne, Franck Michel, Anna Bobasheva, Aline Menin, Sébastien Dupré, Marie-Claude Deboin, Marco Winckler, and Andon Tchechmedjiev. "ISSA: generic pipeline, knowledge model and visualization tools to help scientists search and make sense of a scientific archive." In The Semantic Web–ISWC 2022: 21st International Semantic Web Conference, Virtual Event, October 23–27, 2022, Proceedings, pp. 660-677. Cham: Springer International Publishing, 2022. https://doi.org/10.1007/978-3-031-19433-7_38
<details>
<summary>See BibTex</summary>

@inproceedings{toulet2022issa,
title={ISSA: generic pipeline, knowledge model and visualization tools to help scientists search and make sense of a scientific archive},
author={Toulet, Anne and Michel, Franck and Bobasheva, Anna and Menin, Aline and Dupr{\'e}, S{\'e}bastien and Deboin, Marie-Claude and Winckler, Marco and Tchechmedjiev, Andon},
booktitle={The Semantic Web--ISWC 2022: 21st International Semantic Web Conference, Virtual Event, October 23--27, 2022, Proceedings},
pages={660--677},
year={2022},
organization={Springer}
}
</details>


Anna BOBASHEVA, Franck MICHEL, Andon TCHECHMEDJIEV, Anne TOULET (2022). ISSA Processing Pipeline. https://github.com/issa-project/issa-pipeline.

<details>
<summary>See BibTex</summary>

@software{BOBASHEVA_issa-pipeline_2022,
author = {BOBASHEVA, Anna and MICHEL, Franck and TCHECHMEDJIEV, Andon and TOULET, Anne},
doi = {10.5281/zenodo.6513983},
month = {5},
title = {{issa-pipeline}},
url = {https://github.com/issa-project/issa-pipeline},
version = {1.0.0},
year = {2022}
}
</details>
# ISSA Processing Pipeline

This repository contains the pipeline developed by the [ISSA](https://issa.cirad.fr/) project.
It orchestrates the automatic indexing of a scientific archive by extracting from the articles full-text thematic descriptors and named entities, and linking them with terminological resources in the Semantic Web format.

The repository consists of various tools, scripts and configuration files involved in each step of the pipeline:
- retrieve the articles metadata from the archive's API;
- download and pre-process the PDF files of the articles;
- process the output to extract thematic descriptors and named entities;
- translate the output of each processing step into a unified, consistent RDF dataset;
- upload the resulting dataset to a triple store equipped with a SPARQL endpoint.

These steps are summurized in the following diagram.

<img src="doc/pipeline_diagram.png" width="700" />


## Content

- [Processing pipeline](pipeline/)
- [Tools related to Docker containers and third-party datasets](environment/)
- [RDF modeling](doc/data-modeling.md)
- [RDF examples](doc/examples/)
- [Vocabulary definitions and RDF dataset description](dataset/)

## License

See the [LICENSE file](LICENSE).


## Cite this work

Toulet, Anne, Franck Michel, Anna Bobasheva, Aline Menin, Sébastien Dupré, Marie-Claude Deboin, Marco Winckler, and Andon Tchechmedjiev. "ISSA: generic pipeline, knowledge model and visualization tools to help scientists search and make sense of a scientific archive." In The Semantic Web–ISWC 2022: 21st International Semantic Web Conference, Virtual Event, October 23–27, 2022, Proceedings, pp. 660-677. Cham: Springer International Publishing, 2022. https://doi.org/10.1007/978-3-031-19433-7_38
<details>
<summary>See BibTex</summary>

@inproceedings{toulet2022issa,
title={ISSA: generic pipeline, knowledge model and visualization tools to help scientists search and make sense of a scientific archive},
author={Toulet, Anne and Michel, Franck and Bobasheva, Anna and Menin, Aline and Dupr{\'e}, S{\'e}bastien and Deboin, Marie-Claude and Winckler, Marco and Tchechmedjiev, Andon},
booktitle={The Semantic Web--ISWC 2022: 21st International Semantic Web Conference, Virtual Event, October 23--27, 2022, Proceedings},
pages={660--677},
year={2022},
organization={Springer}
}
</details>


Anna BOBASHEVA, Franck MICHEL, Andon TCHECHMEDJIEV, Anne TOULET (2022). ISSA Processing Pipeline. https://github.com/issa-project/issa-pipeline.

<details>
<summary>See BibTex</summary>

@software{BOBASHEVA_issa-pipeline_2022,
author = {BOBASHEVA, Anna and MICHEL, Franck and TCHECHMEDJIEV, Andon and TOULET, Anne},
doi = {10.5281/zenodo.6513983},
month = {5},
title = {{issa-pipeline}},
url = {https://github.com/issa-project/issa-pipeline},
version = {1.0.0},
year = {2022}
}
</details>
Loading

0 comments on commit 51f74d5

Please sign in to comment.