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Besokus
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Add a deterministic, ontology-based schema validator as a sibling to the confidence-based ExtractionValidator. Both validators implement the same validate_entities() and validate_relations() interfaces and return the shared ValidationResult structure, enabling orthogonal composition across extraction confidence and ontological conformance. Key Additions & Behaviors: - ExtractionSchema: Read-only view over domain ontologies (allowed concepts and predicates with optional domain/range constraints). Supports loading from dictionary representations (generate_ontology() or OntologyData from OntologyIngestor) via ExtractionSchema.from_ontology(), and from OWL/Turtle files/strings via ExtractionSchema.from_owl(). - SchemaValidator: Verifies entity labels against schema concepts and validates relation predicates against defined domain/range constraints. Provides filter_by_schema() and filter_relations_by_schema() to extract conforming subsets without mutating source data. - Domain/Range Wildcarding: Treats owl:Thing (and unqualified Thing) as unconstrained wildcards so fallback types do not reject valid endpoints. - Constructor Parity: Folds relation domain/range endpoint types into the concepts set across both from_ontology() and from_owl() to ensure logical consistency. - Ingest Pipeline Interop: Automatically unwraps OntologyData-like objects via duck-typing on .data. - Resilient Endpoint Resolution: Guards malformed relations missing subject or object endpoints without raising AttributeError, and prefers rdfs:label over URI suffixes while supporting both owl:Class and rdfs:Class. Part of #1510.