Machine Learning Methodology Taxonomy Mapping

Last uploaded: September 10, 2021
Details
Acronym MLTX
Visibility Public
Description The machine learning methodology taxonomy mapping project is focused on gathering the terminology focused on machine learning and mapping the controlled and users' natural language to form a mapping file across these terminologies. This work was originally associated with dissertation research.
Status Alpha
Format OWL
Categories
Vocabularies
Contact
Ashleigh Faith ([email protected])
Creation date
September 10, 2021
Submission date
September 10, 2021
Version information
1 See more...
uri
urn:webprotege:ontology:bf7d3847-0da4-419b-a69f-9df0f026b81a
Submissions
Version Released Uploaded Downloads
1 (Parsed, Indexed, Metrics, Annotator) 09/10/2021 09/10/2021 OWL | CSV | RDF/XML
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Metrics
Classes 13
Individuals 3
Properties 3
Maximum depth 1
Maximum number of children 12
Average number of children 12
Classes with a single child 0
Classes with more than 25 children 0
Classes with no definition 3
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