Semantic Web resources and Machine Learning systems - Knowledge Graph (SWeMLS-KG)

This resource is part of our submission to ESWC 2023 resource track, which includes:

(i) an ontology to represent Semantic Web resources and Machine Learning systems (SWeMLS),
(ii) a set of SWeMLS patterns represented based on OPMW and P-Plan ontology,
(iii) a set of SHACL constraints to check the conformance of SWeML Systems against SWeMLS patterns,
(iv) a Knowledge Graph containing machine-actionable metadata from 476 SWeML systems derived during a Systematic Mapping Study (SMS) [1] based on the resource (i-iii), and
(v) a Java toolkit for transforming SMS result metadata into a KG.

To find the latest SNAPSHOT-version of the resource, we refer interested reader to our resource landing page: https://w3id.org/semsys/sites/swemls-kg/

[1] Breit, A., Waltersdorfer, L., Ekaputra, J.F., Sabou, M., Ekelhart, A., Iana, A., Paulheim, H., Portisch, J., Revenko, A., Ten Teije, A., van Harmelen, F.: Combining Machine Learning and Semantic Web -A Systematic Mapping Study (under review). ACM CSUR (2022)