rdf matcher

Command Line Usage

(see below for use via Docker)

To run these examples, first:

cd tests/data

All matches, as TSV:

rdfmatch -f tsv -i basic.ttl match

Also save triples

rdfmatch -f tsv -i basic.ttl -G matches.ttl match

As above, use skos rather than owl as vocab

rdfmatch -f tsv -i basic.ttl -G matches.ttl --predicate skos:exactMatch match

Contrain to classes with http://example.org/x/ prefix:

rdfmatch -p x -f tsv -i basic.ttl match

New matches:

rdfmatch -p x -f tsv -i basic.ttl new_match

Cache index in a temp folder:

rdfmatch -X tmp -p x -f tsv -i basic.ttl new_match

Learn match rule probabilities:

rdfmatch -p x -X tmp -T -f tsv -v -i tests/data/basic.ttl -i tests/data/equivs.ttl learn > probrules.pro

Note this requires a training set - owl:equivalentClass is used for this

Once you you created the probabilistic rules, these can be applied:

rdfmatch -f tsv -i tests/data/basic.ttl classify probrules.pro

Generate mappings in SSSOM format:

rdfmatch -w prolog/rdf_matcher/obo_weights.pl -T -i tests/data/basic.ttl match

Cacheing

The library index_util is used for caching. Optionally this can go to disk

Docker

Use ./run.sh instead of rdfmatch. E.g.

./run.sh -p x -f tsv -i tests/data/basic.ttl match

Note that files must be in current directory or below, run.sh automaps the current dir to the container.