A tool to query Knowledge Providers (KPs) and synthesize highly ranked answers relevant to user-specified questions.
- Operates in a federated knowledge environment.
- Bridges the precision mismatch between data specificity in KPs and more abstract levels of user queries.
- Generalizes answer ranking.
- Normalizes data to use preferred and equivalent identifiers.
The ARAGORN tool relies on a number of external services to perform a standardized ranking of a user-specified question.
- Strider - Accepts a query and provides knowledge-provider querying, answer generation and ranking.
- Answer Coalesce - Accepts a query containing Strider answers and returns answers that have been coalesced by property, graph and/or ontology analysis.
- Node normalization - A Translator SRI service that provides the preferred CURIE and equivalent identifiers for data in the query.
- ARAGORN Ranker - Accepts a query and provides Omnicorp overlays, score and weight-correctness rankings of coalesced answers.
A live version of the API can be found here.
Below you will find references that detail the standards, web services and supporting tools that are part of ARAGORN.
This version of ARAGORN has all links to subordinate services hard coded. In the future, these links will be defined in the Kubernetes configuration files.
In the meantime some manual edits will be needed in the src/service_aggregator.py file to support your installation.
The ARAGORN subordinate services will have to be deployed prior to the stand-up of ARAGRON. Please reference the following READMEs for more information on standing those up:
cd <aragorn codebase root>
python<version> -m venv venv
source venv/bin/activate
pip install -r requirements.txt
cd <aragorn root>
./main.sh
Or build an image and run it.
cd <aragorn root>
docker build --tag <image_tag> .
Then start the container
docker run --name aragorn -p 8080:4868 aragorn-test
Kubernetes configurations and helm charts for this project can be found at:
https://github.com/helxplatform/translator-devops/helm/aragorn