OntEnrich

Application for knowledge graph enrichment through linking with DBpedia.

Setup

pip install requirements.txt

or

python -m pip install requirements.txt

Usage

For enriching the ontology, first specify all the properties in the options.json file:

Name	Description	Example
input_file	Path to the ontology in .ttl fromat	"ttl/sto.ttl"
whitelist	List of predicates to fetch from DBpedia while enriching	[ "<http://purl.org/dc/terms/subject>" ]
blacklist	List of predicates to exclude from enrichment process	[ "http://purl.org/voc/vrank#hasRank" ]
prefixes	List of prefixes to assign to the resulting ontology	[ { "prfx": "deo", "uri": "http://purl.org/spar/deo/" } ]

Next, execute enrich.py with options.json as a parameter:

python enrich.py options.json

Example

Using a Turtle format of the Standard Ontology (STO) as an input without specifying whitelist and blacklist in the options.json, i.e., fetching all reachable data from DBpedia, the following results can be achieved:

# of DBpedia links	# of added triples
78	8268

You can check out the input and the resulting file here.

License

MIT License. Copyright (c) 2018 Maxim Maltsev.