Cichlid

Cichlid is a distributed RDFS & OWL reasoning system based on Spark. Now, the master branch is in version 0.1.

##Prerequisites As Cichlid is based on Spark, you need to get Spark installed first. If you are not clear about how to setup Spark, please refer to the guidelines here. Currently, Startfish runs on Spark 1.0.x or newer version.

##Building Cichlid Cichlid is built using sbt. We have offered a default build.sbt file to manage the whole project. Make sure you have installed sbt and you can just type sbt compile & sbt package to get an assembly jar in the project directory. Note that the default Spark version and Hadoop version used are defined in file build.sbt, you can modify it if necessary.

##Run Cichlid We use spark-submit scrpit provied by Apache Spark to submit our job, here follows the usages:

for RDFS reasoning:

${SPARK_HOME}/
./bin/spark-submit \
--calss nju.cichlid.RDFS \
--master master_url \
--executor-memory xG \
--total-executor-cores xx \
<application-jar> <inputInstanceTripleFile>	<inputSchemaTripleFile>	<output>[<memoryFraction>]

for OWL reasoning:

${SPARK_HOME}/
./bin/spark-submit \
--calss nju.cichlid.OWL \
--master master_url \
--executor-memory xG \
--total-executor-cores xx \
<application-jar> <inputInstanceTripleFile> <inputSchemaTripleFile> <output> <StorageLevel> [<memoryFraction>]

##Test Data Here we provided a small dataset for testing is directory data. The file named schema is schema file, and instance is instance file. The RDF triples are transformed by MD5 hashfunction and stored in Sequence File format.