The RDF Dataset Enrichment Framework (DEER), is a modular, extensible software system for efficient computation of arbitrary operations on RDF datasets.
The atomic operations involved in this process, dubbed enrichment operators, are configured using RDF, making DEER a native semantic web citizen.
Enrichment operators are mapped to nodes of a directed acyclic graphs to build complex enrichment models, in which the connections between two nodes represent intermediary datasets.

To bundle DEER as a single jar file, do

mvn clean package shade:shade -Dmaven.test.skip=true

Then execute it using

java -jar deer-cli/target/deer-cli-${current-version}.jar path_to_config.ttl

The Docker image declares two volumes:

• /plugins - this is where plugins are dynamically loaded from
• /data - this is where configuration as well as input/output data will reside

For running DEER server in Docker, we expose port 8080. The image accepts the same arguments as the deer-cli.jar, i.e. to run a configuration at ./my-configuration:

docker run -it --rm \
   -v $(pwd)/plugins:/plugins \
   -v $(pwd):/data dicegroup/deer:latest \
   /data/my-configuration.ttl

To run DEER server:

docker run -it --rm \
   -v $(pwd)/plugins:/plugins \
   -p 8080:8080 \
   -s

<dependencies>
  <dependency>
    <groupId>org.aksw.deer</groupId>
    <artifactId>deer-core</artifactId>
    <version>2.3.1</version>
  </dependency>
</dependencies>

<repositories>
 <repository>
      <id>maven.aksw.internal</id>
      <name>University Leipzig, AKSW Maven2 Internal Repository</name>
      <url>http:https://maven.aksw.org/repository/internal/</url>
    </repository>

    <repository>
      <id>maven.aksw.snapshots</id>
      <name>University Leipzig, AKSW Maven2 Snapshot Repository</name>
      <url>http:https://maven.aksw.org/repository/snapshots/</url>
    </repository>
</repositories>

For more detailed information about how to run or extend DEER, please read the manual and consult the Javadoc

./release ${new-version} ${new-snapshot-version}