An agentic LLM workflow for 6G intent orchestration grounds translations in TMF service catalogs, validates with SHACL, and decomposes via constraint satisfaction and set cover, reporting 97% structured success and 26-point hallucination reduction.
TIO-SHACL: Comprehensive SHACL validation for TMF Intent Ontologies
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abstract
Intent-based networking promises to revolutionize telecommunications network management by enabling operators to specify high-level goals rather than low-level configurations. The TM Forum Intent Ontology (tio) provides a standardized vocabulary for expressing network intents, yet lacks formal validation mechanisms to ensure intent correctness before its admission. We present tio-shacl, the first comprehensive SHACL (Shapes Constraint Language) validation framework for the TMF Intent Ontology. Our contribution includes 56 node shapes and 69 property shapes across all 15 tio v3.6.0 ontology modules, a reusable constraint library with 25 parameterized SPARQL-based constraint components, and novel validation patterns for recursive logical operators, quantity-based constraints, and cross-expectation relationships. We pursued 100% vocabulary coverage (87 classes, 109 properties, 72 functions), cross-implementation compatibility across three major SHACL engines, and validation accuracy on a corpus of 133 test cases. tio-shacl is publicly available under MIT license at https://github.com/EricssonResearch/tio-shacl and enables automated syntactic and semantic validation of network intents, addressing a critical gap in the field.
fields
cs.NI 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
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Intent-Driven 6G Service Orchestration: Grounded Translation, Validation, and Decomposition
An agentic LLM workflow for 6G intent orchestration grounds translations in TMF service catalogs, validates with SHACL, and decomposes via constraint satisfaction and set cover, reporting 97% structured success and 26-point hallucination reduction.