Inferal authored ontology source catalog
Catalog of Inferal-authored ontology modules, profiles, and mappings.
Advertising budgets as separable parts: amount, period, delivery method, covered scope, and sharing, with spend caps modelled apart from budgets.
Separates the five things the word budget conflates, so two allowances are compared only when their period, pacing, and scope agree. Reuses monetary amounts from the advertising-measurement module rather than restating them, and keeps spend caps distinct from budgets because a ceiling does not direct delivery.
Advertiser intent, observed serving, reified holds carrying a kind and an originating resource, and lifecycle standing, kept as four separate questions.
Separates the four questions a single status enumeration merges, and reifies the reason delivery is prevented so a hold names both its kind and the resource it originated from. That origin is what makes an inherited pause traceable to the ancestor responsible.
Reified advertising metric observations qualified by metric kind, reporting window, observation grain, attribution basis, and breakdown dimensions, with time-bounded hierarchy membership.
Models the act of measuring an advertising entity rather than the entity tiers. Partitioning axes such as placement are breakdown dimensions rather than hierarchy tiers, and containment is reified with a validity interval so historical observations are read against the hierarchy that held during their window.
The tiers an advertiser configures, named for what they carry: accounts held under a role at a channel, campaigns carrying an objective, targeting groups carrying audience and bid, ads, and the reusable creatives they deliver.
Names each tier for what it carries rather than for the word a provider uses, because the words disagree across platforms and the functions do not. Containment is not restated here: it is reified with a validity interval in the measurement module. Identity pairs a value with the channel that issued it, since platforms reuse numeric ranges.
Evidence signals, change proposals, review decisions, realization activities, immutable artifact versions, observed change sets, and compatibility assessments, with governed-artifact, semantic-artifact, and ontology-evolution profiles.
Provides a reusable governed-artifact evolution core and a stricter ontology profile while preserving the distinction among proposal, decision, implementation, publication, and observed semantic change.
Sourced company intelligence model for legal and operating entities, identity evidence, temporal assertions, funding and transaction events, ownership and control, operational metrics, and XBRL-facing financial facts.
Provides the Inferal-owned middle layer for Crunchbase-like company intelligence and XBRL-facing financial observations while keeping provenance, confidence, source evidence, and external-vocabulary mapping decisions explicit.
Reusable commercial intelligence model for what entities do, what product/service offerings they sell, who buys them, which use cases they support, and how offerings are classified.
Provides the reusable Inferal layer for sourced offering, customer, use-case, revenue-model, and product/service category assertions.
Structured confidence assessments with scales, operators, assumptions, conversions, and PROV-based derivation records.
Provides a reusable vocabulary for structured confidence values, explicit scales, composition operators, derivation assumptions, and PROV-aware confidence activities.
Orders, line items, buyers, refunds, and cost of goods, with payment, fulfilment, and lifecycle as three separate axes, denominated in the monetary terms the advertising vocabulary uses.
Specialises the schema.org order for interoperability while forbidding its status property, whose enumeration mixes payment, fulfilment, lifecycle, and workflow outcomes in one list. Money is reused from the advertising measurement module so revenue and spend are the same kind of quantity.
Domain-neutral vocabulary for conversations, contributions, threads, records, ordered views, addressing, artifact discussions, targeted comments, lifecycle state, provenance, and human or software-agent execution.
Provides one conversation namespace with optional SHACL profiles, PROV-O as the provenance foundation, and position-aware integration through Localization, Ordering, Range, and Confidence.
First-class competency questions with formulations, requirements, use cases, stakeholders, targets, expectations, executable query artifacts, fixtures, machine-observed results, qualified expectation assessments, execution evidence, governance, templates, and coverage.
Provides a semantically layered, recursively exercised contract for competency-question resources while keeping ontology meaning, SHACL validation, query execution, and test evidence distinct.
Data element classification with DPV personal-data categories, sensitivity levels, detection provenance, structured confidence, status, and policy hooks.
Provides a profile layer for annotating data fields, columns, paths, predicates, and other data-bearing elements with privacy classifications and policy hooks.
Traceable goals, issues, options, evaluations, deliberations, commitments, records, resulting actions, and anticipated or observed consequences.
Provides a generic provenance-aware decision core while preserving the identities of deliberation, commitment, documentary record, implementation activity, and consequence.
Unordered structural additions and removals between identified RDF dataset snapshots, with bidirectional membership, exact quad targets, and a Service Description-driven dataset constructor.
Provides a focused RDF dataset-delta layer and a deterministic constructor over two Service Description dataset manifests in one carrier dataset, while leaving comparison coverage, governance, canonicalization, and ordered patch application to other specifications.
Data Usage and Processing Lineage Ontology
Abstract processing contracts and category policies connected to concrete PROV executions, dataset and element lineage, classification impacts, lineage coverage, and mitigation assessments.
Provides the Inferal-owned bridge from category-level processing intent to actual data lineage and evidence-backed downstream classification or mitigation conclusions.
Domain-neutral claims, support and defeating arguments, contextual evidence roles, premises, conclusions, reasoning bases, and explicit challenge targets.
Provides a small provenance-compatible evidence core without treating offered support as proof or duplicating confidence and statement-target vocabularies.
Maps the values Google Ads actually sends onto the advertising vocabularies, including the budget it already decomposes and the attribution it does not report at all.
Its budget is the reference decomposition the shared module argues for, its sharing is reported as a count with the referenced campaigns unnamed, and it reports no attribution model, window, or interaction kind anywhere.
Maps the values LinkedIn actually sends onto the advertising vocabularies, including an analytics row that names neither its subject nor its grain nor the dimension it is partitioned by.
It already splits advertiser intent from serving from hold reasons, which is the shape the delivery-state module generalises, while its analytics rows depend on the request for their meaning.
Maps the values Meta actually sends onto the advertising measurement, budget, and delivery-state vocabularies, and records where the wire form carries less than the shared model asks for.
Derived from the modelled Meta surface rather than an idealised one, so it records absences as well as mappings: no attribution model on the wire, outcome counts in an open free-text bag, and partitioning as a single string whose dimension and value are not separated.
Amadeus Relay Data Classification Profile
Predicate-level PII and personal-data classification annotations for the current Amadeus Relay RDF ontology, using the data-classification module and DPV-PD.
Profiles generated Amadeus Relay RDF without editing it, classifying schema predicates as candidate personal-data fields with confidence, sensitivity, detection provenance, and review hooks.
Predicate-level PII and personal-data classification annotations for the current Hyros Relay RDF ontology, using the data-classification module and DPV-PD.
Profiles generated Hyros Relay RDF without editing it, classifying schema predicates as candidate personal-data fields with confidence, sensitivity, detection provenance, and review hooks.
Inferal Relay Data Classification Profile
Predicate-level PII and personal-data classification annotations for the current Inferal Relay RDF ontology, using the data-classification module and DPV-PD.
Profiles generated Inferal Relay RDF without editing it, classifying schema predicates as candidate personal-data fields with confidence, sensitivity, detection provenance, and review hooks.
Pinterest Relay Data Classification Profile
Predicate-level PII and personal-data classification annotations for the current Pinterest Relay RDF ontology, using the data-classification module and DPV-PD.
Profiles generated Pinterest Relay RDF without editing it, classifying schema predicates as candidate personal-data fields with confidence, sensitivity, detection provenance, and review hooks.
Shopify Relay Data Classification Profile
Predicate-level PII and personal-data classification annotations for the current Shopify Relay RDF ontology, using the data-classification module and DPV-PD.
Profiles generated Shopify Relay RDF without editing it, classifying schema predicates as candidate personal-data fields with confidence, sensitivity, detection provenance, and review hooks.
Triple Whale Relay Data Classification Profile
Predicate-level PII and personal-data classification annotations for the current Triple Whale Relay RDF ontology, using the data-classification module and DPV-PD.
Profiles generated Triple Whale Relay RDF without editing it, classifying schema predicates as candidate personal-data fields with confidence, sensitivity, detection provenance, and review hooks.
WooCommerce Relay Data Classification Profile
Predicate-level PII and personal-data classification annotations for the current WooCommerce Relay RDF ontology, using the data-classification module and DPV-PD.
Profiles generated WooCommerce Relay RDF without editing it, classifying schema predicates as candidate personal-data fields with confidence, sensitivity, detection provenance, and review hooks.
Predicate-level PII and personal-data classification annotations for the current Meta Relay RDF ontology, using the data-classification module and DPV-PD.
Profiles generated Meta Relay RDF without editing it, classifying schema predicates as candidate personal-data fields with confidence, sensitivity, detection provenance, and review hooks.
Google Ads Relay Data Classification Profile
Predicate-level PII and personal-data classification annotations for the current Google Ads Relay RDF ontology, using the data-classification module and DPV-PD.
Profiles generated Google Ads Relay RDF without editing it, classifying schema predicates as candidate personal-data fields with confidence, sensitivity, detection provenance, and review hooks.
LinkedIn Relay Data Classification Profile
Predicate-level PII and personal-data classification annotations for the current LinkedIn Relay RDF ontology, using the data-classification module and DPV-PD.
Profiles generated LinkedIn Relay RDF without editing it, classifying schema predicates as candidate personal-data fields with confidence, sensitivity, detection provenance, and review hooks.
SPARQL mapping from generated Mailchimp Relay RDFS and SHACL artifacts into the Inferal type-system ontology.
Publishes a cautious Relay-to-type-system projection for Mailchimp. The mapping relies on a SPARQL CONSTRUCT query instead of strong OWL equivalence, because generated Relay RDFS and SHACL encode a usable schema view but not the full TypeSpec source model.
Relay Google Ads to shared advertising mapping
Executable, fail-closed SPARQL projection from Relay Google Ads v24 entities and reports into the canonical agent-facing advertising entity, measurement, budget, and delivery-state modules.
Keeps provider resource IRIs where stable, constructs deterministic derived nodes with provenance, and retains search terms and recommendations in the provider graph while exposing them through a union query.
Relay LinkedIn to shared advertising mapping
Executable, fail-closed SPARQL projection from Relay LinkedIn 202606 entities and request-anchored analytics into the canonical agent-facing advertising entity, measurement, and delivery-state modules.
Maps LinkedIn tiers by function, requires the preserved analytics request to supply subject and grain, and splits its folded creative delivery unit without inventing a provider identity for the asset.
Relay Meta to shared advertising mapping
Executable, fail-closed SPARQL projection from Relay Meta v25 entities and insights into the canonical agent-facing advertising entity, measurement, and delivery-state modules.
Materializes complete provider facts, retains unknown objectives and insufficient budget/rate fields locally, and makes attribution assumptions explicit rather than silently defaulting them.
SPARQL mappings from lossless JSON Values representations of Codex and Claude JSONL sessions into Conversation RDF.
Keeps generic JSONL capture separate from agent-specific semantics. Visible content is represented through provenance-bearing Conversation Content entities; private reasoning is intentionally not projected.
OpenLineage to Data Usage and Processing Lineage Mapping
SPARQL mapping from a lossless JSON Values representation of an OpenLineage RunEvent into processing-lineage RDF.
Keeps generic JSON ingestion separate from domain semantics. The published SPARQL query is the mapping; it reads lossless JSON Values RDF and expresses every supported OpenLineage-to-processing-lineage correspondence declaratively.
Conditional SPARQL mapping from Web Annotation records to explicit PROV-O provenance graphs.
Publishes the materialization query as the mapping, a SELECT query as an inspection view, and a separate auxiliary vocabulary containing only mapping-owned activity classes.
P-Plan to Data Usage and Processing Lineage Mapping
Configured SPARQL mapping from P-Plan plans, steps, variables, activities, and fixed data entities into processing-lineage RDF.
Publishes the SPARQL query as the mapping and a separate source-profile vocabulary for the configuration and evidence P-Plan itself does not provide.
Graphs as binary hypergraphs, graph endpoints, directed and undirected edges, and ordered endpoint structure for directed edges.
Provides binary graph terms on top of the hypergraph module, with directedness modeled as ordering over endpoint occurrences.
Content-addressed Git repositories, objects, ordered commit ancestry, references, and externally resolvable object stores.
Models Git graph identity independently from payload custody, aligns commit-parent topology with broad Ordering precedence, and allows hash-only blobs to inherit a repository object store while materializers verify resolved payloads against declared object IDs.
Hypergraphs, vertices, hyperedges, and incidence occurrences specialized from set membership.
Provides reusable hypergraph and incidence primitives for modules that need set-of-sets graph structures.
Sourced, jurisdiction-aware model for insurance-market roles, placements, policy context, representation, delegated actions, risk participation, risk transfer, and participant forms.
Provides an Inferal-owned insurance integration layer that preserves contextual roles, explicit representation and actions, written and retained capacity, directional transfers, and evidence-backed participant classifications.
Actual JSON values represented as RDF resources, including objects, arrays, scalars, object member occurrences, and array element occurrences.
Provides loss-preserving JSON value primitives for graphs that need to carry JSON values without projecting field names into RDF predicates.
Reference frames, stable loci, and provenance-bearing localization claims for temporal, ordered, and spatial positions.
Provides a reusable vocabulary for locating stable RDF subjects in reference frames while keeping contested or instrumented readings as separate provenance-bearing claims.
Comparable resources, ordering contexts, precedence, specialized comparison, immediate adjacency, same-rank relations, and optional numeric ranks.
Provides reusable ordering primitives for Inferal-authored modules that need broad precedence, specialized comparisons, immediate adjacency, or ranks.
Describes executable migration sets that carry RDF data between ontology versions or ontology families, gate execution with source and target validation, relate corresponding reverse migrations, pair verification tests, and defer source retraction until validation is complete.
Identifies directional ontology endpoints, explicit case membership, source and target validation gates, corresponding reverse migrations, and paired W3C query-evaluation tests while reusing named SHACL-AF rules for additive transformation and exact, separately authorized source-retraction planning.
Controlled SKOS topics for discovering semantic artifacts by problem and subject area.
Provides a shared, explainable discovery taxonomy for the public catalog and Ontology Desk without conflating topic with artifact kind or authority.
Open, closed, and half-open ranges over ordered comparable resources.
Provides reusable bounded interval terms for Inferal-authored modules that need range semantics.
Classical RDF-resource sets, explicit membership occurrences, direct membership shortcuts, and optional cardinality assertions.
Provides reusable set and membership primitives for Inferal-authored modules that need first-class membership occurrences.
Exact RDF quad targets, quad groups, and claims scoped to arbitrary applicability resources.
Expresses scoped claims over individual RDF quads and quad groups without defining the semantics of scope resources.
Scalar, structured, literal, union, enum, callable, template, value, scalar-initializer, and type-relation facts.
Defines Inferal-owned terms for type-system facts and type-bearing structure.
TypeSpec API version chains and change annotations used by Inferal Relay RDF output.
Documents the tspv namespace emitted by Inferal Relay for TypeSpec versioning metadata without rewriting generated Relay RDF.
Version identifiers, version ordering contexts, component comparison rules, version range specializations, and range membership.
Provides reusable version identifiers, ordering edges, range bounds, and the reference query for materializing range membership.
Complete evidence, proposal, decision, realization, and comparison requirements for governed artifact evolution.
The artifact-neutral conformance layer for exchanging complete governed evolution records.
Evolution requirements and change kinds for vocabularies, schemas, shapes, mappings, profiles, ontologies, and other semantic artifacts.
Composes governed evolution with semantic-artifact typing, assessments, and shared semantic change kinds.
OWL ontology evolution requirements for public terms, axioms, exact RDF targets, impact review, and stable publication.
Composes the governed and semantic-artifact layers with OWL ontology typing and exact targeting for axiom changes.
Reference constructor input SHACL contract
Reference RDF dataset delta constructor/SPARQL
OpenLineage processing-lineage SPARQL mapping
P-Plan processing-lineage SPARQL mapping
Auxiliary provenance activity vocabulary
Self-application acceptance query/SPARQL
Template-element extraction query/SPARQL
Template-element extraction fixture descriptor/Turtle
Qualified template-realization query/SPARQL
Qualified template-realization fixture descriptor/Turtle
Self-application boolean conformance query/SPARQL
Self-application boolean conformance fixture descriptor/Turtle
ChatGPT Ads Relay Data Classification Profile
Predicate-level PII and personal-data classification annotations for the current ChatGPT Ads Inferal Relay RDF ontology, using the data-classification module and DPV-PD.
Profiles generated ChatGPT Ads Relay RDF without editing it, classifying schema predicates as candidate personal-data fields with confidence, sensitivity, detection provenance, and review hooks.
Agentic Commerce Protocol Product Feed Relay Data Classification Profile
Predicate-level PII and personal-data classification annotations for the current Agentic Commerce Protocol Product Feed Inferal Relay RDF ontology, using the data-classification module and DPV-PD.
Profiles generated Agentic Commerce Protocol Product Feed Relay RDF without editing it, classifying schema predicates as candidate personal-data fields with confidence, sensitivity, detection provenance, and review hooks.
Travel Partner Relay Data Classification Profile
Predicate-level PII and personal-data classification annotations for the current Travel Partner Inferal Relay RDF ontology, using the data-classification module and DPV-PD.
Profiles generated Travel Partner Relay RDF without editing it, classifying schema predicates as candidate personal-data fields with confidence, sensitivity, detection provenance, and review hooks.
Klaviyo Relay Data Classification Profile
Predicate-level PII and personal-data classification annotations for the current Klaviyo Inferal Relay RDF ontology, using the data-classification module and DPV-PD.
Profiles generated Klaviyo Relay RDF without editing it, classifying schema predicates as candidate personal-data fields with confidence, sensitivity, detection provenance, and review hooks.
Mailchimp Relay Data Classification Profile
Predicate-level PII and personal-data classification annotations for the current Mailchimp Inferal Relay RDF ontology, using the data-classification module and DPV-PD.
Profiles generated Mailchimp Relay RDF without editing it, classifying schema predicates as candidate personal-data fields with confidence, sensitivity, detection provenance, and review hooks.
Microsoft Advertising Relay Data Classification Profile
Predicate-level PII and personal-data classification annotations for the current Microsoft Advertising Inferal Relay RDF ontology, using the data-classification module and DPV-PD.
Profiles generated Microsoft Advertising Relay RDF without editing it, classifying schema predicates as candidate personal-data fields with confidence, sensitivity, detection provenance, and review hooks.