Linked.Archi ML-Enabled Systems Metamodel Definition
type: Ontology
imports: core#
license: http://creativecommons.org/licenses/by/4.0/
preferred namespace prefix: mlsysmm
creator: Kalin Maldzhanski
description: Metamodel manifest for the ML-Enabled Systems extension. Ties together the ML element/relationship ontology, SKOS taxonomy, and SHACL shapes into a single discoverable resource. This is the entry point for tools that need to discover all resources that make up the ML-Enabled Systems modeling vocabulary.
created: 2026-05-03
modified: 2026-05-03
publisher: Linked.Archi
publisher: linked.archi
status: draft
version IRI: 0.1.0#
version info: 0.1.0
source: https://arxiv.org/abs/2308.05239

ML-Enabled Systems Metamodel
type: Metamodel
definition: The ML-Enabled Systems metamodel definition, aggregating the ML element/relationship ontology, SKOS taxonomy, and SHACL shapes. Designed to be composed with other metamodels (ArchiMate, C4, Backstage) via owl:imports to add ML-specific modeling capabilities to any architecture description.
source: https://arxiv.org/abs/2308.05239
model concepts: onto#
concept classification: MLSystemsConceptScheme
formal rules: shapes#
metamodel identifies stakeholder: DataScientist
metamodel identifies stakeholder: DataEngineer
metamodel identifies stakeholder: MLEngineer
metamodel identifies stakeholder: EthicsOfficer
metamodel identifies consideration: ModelPerformanceConcern
metamodel identifies consideration: DataQualityConcern
metamodel identifies consideration: ModelDriftConcern
metamodel identifies consideration: ExplainabilityConcern
metamodel identifies consideration: FairnessConcern
metamodel identifies consideration: AdversarialRobustnessConcern
metamodel identifies consideration: MLArtifactVersioningConcern
metamodel identifies consideration: MLMonitorabilityConcern
metamodel identifies consideration: MLPrivacyConcern
metamodel identifies consideration: MLSECollaborationConcern