Package "rdf_matcher"

Title:	RDF matching utils
Rating:	Not rated. Create the first rating!
Latest version:	0.1.5
SHA1 sum:	d7c6a6fc5978f4b6b7992b872fda3810a491e3d8
Author:	Chris Mungall <cmungall@gmail.com>
Packager:	Chris Mungall <cmungall@gmail.com>
Home page:	https://github.com/cmungall/index_util
Download URL:	https://github.com/cmungall/rdf_matcher/releases/*.zip
Requires:	index_util
	sparqlprog

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Details by download location

Version	SHA1	#Downloads	URL
0.1.1	629127f82d6e80223711e7b5e5a0b6fd5e7abc38	2	https://github.com/cmungall/rdf_matcher/archive/v0.1.1.zip
0.1.2	c47d6b7c3c34afaa585f2e775d3193c9e778842e	2	https://github.com/cmungall/rdf_matcher/archive/v0.1.2.zip
0.1.3	6f75440414c8ecd27f806f188476c7cf5c4e5b5d	3	https://github.com/cmungall/rdf_matcher/archive/v0.1.3.zip
0.1.5	d7c6a6fc5978f4b6b7992b872fda3810a491e3d8	21	https://github.com/cmungall/rdf_matcher/archive/v0.1.5.zip


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`

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`

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`

Contents of pack "rdf_matcher"

Pack contains 17 files holding a total of 51.5K bytes.