maha os · governed federation

Sensor Provenance — Controls

Sensor Provenance, in this control model, is limited to the following inspected scope. SOSA can identify a sensor, observed property, feature of interest, procedure, result, phenomenon time, and result time for an asserted observation. PROV represents entities, activities, agents, generation, use, derivation, association, attribution, and role-qualified responsibility. The answer carries the source boundaries forward and does not infer authority from a neighboring topic.

Active canonical release · fedrelease_904f72014a79ba88b3985c82e56cd3be · exact revision sha256:ab97126aa6cba673a1b2c9dbafd3918465492dfc6845a77aa949157fc1ec0add

answer

Direct answer

Sensor Provenance, in this control model, is limited to the following inspected scope. SOSA can identify a sensor, observed property, feature of interest, procedure, result, phenomenon time, and result time for an asserted observation. PROV represents entities, activities, agents, generation, use, derivation, association, attribution, and role-qualified responsibility. The answer carries the source boundaries forward and does not infer authority from a neighboring topic.

role-method

Control model

State the controlled input, decision rule, observable failure, and evidence that the control ran.

A control description is not evidence of effectiveness; verification and operational observation remain separate.

Applied scope: SOSA can identify a sensor, observed property, feature of interest, procedure, result, phenomenon time, and result time for an asserted observation. PROV represents entities, activities, agents, generation, use, derivation, association, attribution, and role-qualified responsibility.

authority

Definition and operating context

The canonical concept owner is maha-os. This route may apply consent; it cannot redefine or inherit the authority of its canonical owner.

This property may publish private-system architecture, consent controls, operator guidance. It must not publish medical diagnosis or cloud-first defaults presented as private.

evidence

Evidence and exact locators

Semantic Sensor Network Ontology — §§5.5.1–5.5.2; sosa:madeBySensor, observedProperty, hasFeatureOfInterest, usedProcedure, hasResult, phenomenonTime, resultTime. Establishes: SOSA can identify a sensor, observed property, feature of interest, procedure, result, phenomenon time, and result time for an asserted observation.

PROV Model Primer — §2.3 generation and usage; §2.4 agents and responsibility; §2.5 roles. Establishes: PROV represents entities, activities, agents, generation, use, derivation, association, attribution, and role-qualified responsibility.

limitations

What the evidence does not establish

The ontology structures an assertion; it does not prove sensor accuracy, calibration, integrity, device identity, consent, completeness, or truthful reporting.

PROV represents asserted provenance; it does not authenticate actors, observe an event, validate a result, or prove that the asserted history is complete.

This route must not claim medical diagnosis.

This route must not claim cloud-first defaults presented as private.

relationships

Related definitions and applications

graphEdges: https://www.maha-os.com/knowledge/private-machine-systems/health-data-consent/definition

same-topic-application: https://www.maha-os.com/knowledge/private-machine-systems/sensor-provenance/definition

same-topic-application: https://www.maha-os.com/knowledge/private-machine-systems/sensor-provenance/operator-guide

same-topic-application: https://www.maha-os.com/knowledge/private-machine-systems/sensor-provenance/failure-mode

property-home: https://www.maha-os.com/

bounded answers

Questions this page can answer

What does Sensor Provenance mean in this bounded context?

Sensor Provenance, in this control model, is limited to the following inspected scope. SOSA can identify a sensor, observed property, feature of interest, procedure, result, phenomenon time, and result time for an asserted observation. PROV represents entities, activities, agents, generation, use, derivation, association, attribution, and role-qualified responsibility. The answer carries the source boundaries forward and does not infer authority from a neighboring topic.

Which inspected sources support this controls answer?

Semantic Sensor Network Ontology (W3C Recommendation, 4 December 2023), at §§5.5.1–5.5.2; sosa:madeBySensor, observedProperty, hasFeatureOfInterest, usedProcedure, hasResult, phenomenonTime, resultTime, supports sOSA can identify a sensor, observed property, feature of interest, procedure, result, phenomenon time, and result time for an asserted observation. PROV Model Primer (Working Group Note, 30 April 2013), at §2.3 generation and usage; §2.4 agents and responsibility; §2.5 roles, supports pROV represents entities, activities, agents, generation, use, derivation, association, attribution, and role-qualified responsibility.

What does the evidence not establish?

The ontology structures an assertion; it does not prove sensor accuracy, calibration, integrity, device identity, consent, completeness, or truthful reporting. PROV represents asserted provenance; it does not authenticate actors, observe an event, validate a result, or prove that the asserted history is complete. Property boundary: This route may apply consent; it cannot redefine or inherit the authority of its canonical owner.

Which definition or canonical owner must be read first?

This page is the local maha-os definition for its topic. Related applications may depend on it but may not silently redefine it.

What source, policy, implementation, or release change would require revision?

Re-evaluate this page when a cited source, locator, governing instrument, local implementation, or canonical definition changes. Publication also requires a matching exact-revision review and active canonical release.