Tested on Linux Mint 17, Mac OS X, Ubuntu 14.04
#!bash
$ git clone https://github.com/rporrini/abstat.git
$ cd abstat
$ git checkout development
$ ./build-and-test.sh development
ABSTAT can be controlled using the script abstat.sh from the root of the repository with the following commands:
$ abstat.sh build # builds ABSTAT and the respective docker container
$ abstat.sh start # starts ABSTAT
$ abstat.sh destroy # stops ABSTAT and deletes all the respective docker container
$ abstat.sh status # prints out the current status of ABSTAT. Useful to see if ABSTAT is running or not
$ abstat.sh log # prints out all the available logging information for ABSTAT. Useful to see if ABSTAT is running or not
$ abstat.sh exec $SCRIPT # runs a script within an already running ABSTAT container.
$ abstat.sh run [--dry] $COMMAND # runs an arbitrary bash command on an ABSTAT container. If called without option ```--dry``` all the services within the docker container are started. If ```--dry``` is specified the services are not started
The summarization process of a dataset $DATASET expects to find an ontology in data/datasets/$DATASET/ontology and a ntriple file in data/datasets/$DATASET/triples/dataset.nt. First, ensure that ABSTAT is running (if not, issue an abstat.sh start), then:
$ abstat.sh exec pipeline/run-summarization-pipeline.sh $DATASET
The result of the summarization can be found in data/summaries/$DATASET.
Once the summarization pipeline is run for a dataset $DATASET, you can index the results into the embedded Virtuoso triple store. As for running the pipeline, first ensure that ABSTAT is running, then:
$ abstat.sh exec pipeline/export-to-rdf.sh $DATASET $PAYLEVEDOMAIN
To index the summary of a $DATASET in Solr, first ensure that ABSTAT is running, then:
$ abstat.sh exec pipeline/export-to-solr.sh $DATASET $PAYLEVELDOMAIN