Demo | Download | Documentation | User Guide
Datashare is an open-source software developed by the International Consortium of Investigative Journalists (ICIJ). You can use it for free on your computer or install it on your server and analyse your documents with collaborative features.
@ICIJorg publishes video tweets of new features with the hashtag #ICIJDatashare.
This repository is only the backend part of Datashare.
Please find the frontend here : https://github.com/ICIJ/datashare-client.
Datashare is a free open-source desktop application developed by non-profit International Consortium of Investigative Journalists (ICIJ).
Datashare allows investigative journalists to:
- access all their documents in one place locally on their computer while securing them from potential third-party interferences
- search pdfs, images, texts, spreadsheets, slides and any files, simultaneously
- automatically detect and filter by people, organizations and locations
You're welcome to suggest translations on Datashare's Crowdin https://crwd.in/datashare. Please contact us if you would like to add a language.
You can download the script at datashare.icij.org.
To access web GUI, go in your documents folder and launch path/to/datashare.sh then connect datashare on http://localhost:8080
You can use the datashare docker container only for HTTP exposed name finding API.
Just run :
docker run -ti -p 8080:8080 -v /path/to/dist/:/home/datashare/dist icij/datashare:0.10 -m NER
A bit of explanation :
-p 8080:8080maps the 8080 to 8080, the you could access datashare at localhost:8080 (If you want to access it at localhost:8081, the change to-p 8081:8080)-m NERruns datashare without index at all on a stateless mode-v /path/to/dist:/home/datashare/distmaps the directory where the NLP models will be read (and downloaded if they don't exist)
Then query with curl the server with :
curl -i localhost:8080/api/ner/findNames/CORENLP --data-binary @path/to/a/file.txt
The last path part (CORENLP) is the framework. You can choose it among CORENLP, IXAPIPE, MITIE or OPENNLP.
Implementations
-
TikaDocument from ICIJ/extract
Apache Tika v1.18 (Apache Licence v2.0)
with Tesseract v4.0 alpha
Support
Info: other languages than the ones listed below are not supported. We encourage you to reach out to the maintainers of the original NLP projects to support your preferred language.
Implementations
-
org.icij.datashare.text.nlp.corenlp.CorenlpPipelineStanford CoreNLP v3.8.0, (Conditional Random Fields), Composite GPL v3+
-
org.icij.datashare.text.nlp.ixapipe.IxapipePipelineIxa Pipes Nerc v1.6.1, (Perceptron), Apache Licence v2.0
-
org.icij.datashare.text.nlp.mitie.MitiePipelineMIT Information Extraction v0.8, (Structural Support Vector Machines), Boost Software License v1.0
-
org.icij.datashare.text.nlp.opennlp.OpennlpPipelineApache OpenNLP v1.6.0, (Maximum Entropy), Apache Licence v2.0
Natural Language Processing Stages Support
NlpStage |
|---|
TOKEN |
SENTENCE |
POS |
NER |
Named Entity Recognition Language Support
NlpStage.NER |
ENGLISH |
SPANISH |
GERMAN |
FRENCH |
CHINESE |
|---|---|---|---|---|---|
NlpPipeline.Type.CORENLP |
X | X | X | (w/ EN) | X |
NlpPipeline.Type.OPENNLP |
X | X | - | X | - |
NlpPipeline.Type.IXAPIPE |
X | X | X | - | - |
NlpPipeline.Type.MITIE |
X | X | X | - | - |
Named Entity Categories Support
NamedEntity.Category |
|---|
ORGANIZATION |
PERSON |
LOCATION |
Parts-of-Speech Language Support
NlpStage.POS |
ENGLISH |
SPANISH |
GERMAN |
FRENCH |
|---|---|---|---|---|
NlpPipeline.Type.CORE |
X | X | X | X |
NlpPipeline.Type.OPEN |
X | X | X | X |
NlpPipeline.Type.IXA |
X | X | X | X |
NlpPipeline.Type.MITIE |
- | - | - | - |
Implementations
-
org.icij.datashare.text.indexing.elasticsearch.ElasticsearchIndexerElasticsearch v7.9.1, Apache Licence v2.0
Requires
JDK 11,
Maven 3 and a running PostgreSQL database (hostname postgres)
with two databases datashare and test with write access for user test / password test. You'll need also a running
elasticsearch instance with elasticsearch as hostname ; and a redis server named redis as well.
mvn validate
mvn -pl commons-test -am install
mvn -pl datashare-db liquibase:update
mvn test
It is important to keep datashare and datashare-client up to date by pulling from each repository's master branch.
To ensure that updates are registered, make clean dist must be run locally from each repository.
If dependencies have been updated on datashare-client, run yarn before make clean dist.
If the database models have changed within datashare, run the following commands before make clean dist:
sh datashare-db/scr/reset_datashare_db.sh
mvn -pl commons-test -am install
mvn -pl datashare-db liquibase:update
mvn test
Datashare is released under the GNU Affero General Public License
We welcome feedback as well as contributions!
For any bug, question, comment or (pull) request,
please contact us at datashare@icij.org
