Tested with OpenJDK 11 and Gradle 7.5.1.
Cite us:
Benítez-Hidalgo A, Navas-Delgado I, Roldán-García MM. NORA: Scalable OWL reasoner based on NoSQL databases and Apache Spark. Softw Pract Exper. 2023; 53(12): 2377–2392. doi: 10.1002/spe.3258
Use gradle
to build the project:
$ make build
Before running the project, edit the config.properties
and set your own values. Make sure to set the NORA_CONFIG
environment variable to the path of the config.properties
file:
$ export NORA_CONFIG=$(pwd)/config.properties
Load the ontology into the database:
$ java -cp nora.jar loader.Loader examples/ontology.owl examples/individuals/ http://w3id.org/examples/ontology.owl
Then, start the reasoning process by running the following command:
$ java -cp nora.jar reasoner.Reasoner
or by using spark-submit
:
$ spark-submit \
--name nora \
--class reasoner.Reasoner \
--master spark://host:port \
--driver-memory 6G \
--executor-memory 120G \
file:///home/user/nora.jar 10
A step-by-step guide is available here.
The flag -Xmx
specifies the maximum memory allocation pool for a Java Virtual Machine (JVM), while -Xms
specifies the initial memory allocation pool. These flags can be set to modify the Java memory settings:
- IntelliJ IDEA: Run/Debug configuration > Set VM options to
-Xms10g -Xmx80g
- Terminal: Run Java with
-Xms10g -Xmx80g
Run the following command to run the tests:
$ make test
Embedded Cassandra requires JDK 11 or lower. If using a higher version, downgrade it to JDK 11.
This project is licensed under the MIT license - see the LICENSE file for details.