This spring boot application uses several NLP services for Named Entity Recognition tasks with two micro services.
The first micro service provides three GATE pipelines:
As a second microservice, a Python based application offers access to language models:
- Huggingface Bert-base-NER extracting people, locations and organizations
- SciSpacy with the en_core_sci_sm model recognizing biomedical data.
A demonstration is available: https://semsearch.fmi.uni-jena.de/SA2.0/swagger-ui.html
Install Adopt Open JDK 11 (https://adoptopenjdk.net/)
Install Maven from Maven
Python version 3.9
Please download the BiodivTagger and the OrganismTagger from Zenodo: 
The GATE ANNIE pipeline is default pipeline available in the GATE framework.
run below commands in order:
cd SA2.0/nlp
mvn spring-boot:run
It takes a little time until the application starts.
This project contains a Swagger API platform.
http://localhost:8080/swagger-ui.html#/
go to the:
src/main/resources/application.properties
set the Annie, BioTagger and OrganismTagger location on your system
For using the Huggingface service, you need to run this app.
Install Anaconda from Anaconda
run blow commands in order:
cd SA2.0/pythonAPI
python -m venv myenv
.\myenv\Scripts\activate
Linux: source myenv/bin/activate
pip install -r requirements.txt
python main.py
Further information on the first version of the Semantic Assistants framwork can be obtained from the website of the Semantic Software Lab: https://www.semanticsoftware.info/semantic-assistants-architecture
03.12.2022 initial release 0.1
Semantic Assistants 2.0 is distributed under the terms of the GNU LGPL v3.0. (https://www.gnu.org/licenses/lgpl-3.0.en.html)