[New Skill]: Semantic IoT Telemetry Bridge

[rosspeili]

Skill Name

data_engineering/iot_semantic_bridge

What should this skill do?

Ideal for CERTH ITI's Smart City & Semantic Web Researchers

Agents struggle massively when fed raw sensor data (e.g., smart city traffic arrays, IoT temperature datasets). They misinterpret timestamps and geometries. This skill takes noisy, raw IoT JSON arrays and uses semantic mapping (JSON-LD methodologies) to output clean, strictly typed, human-and-agent-readable "State of Environment" summaries. It acts as an ontology transformer, allowing agents to easily reason about smart city environments without hallucinating.

Contributors: Because it involves semantic transformations, researchers should ensure they don't bloat the package. Please rely on standard json libraries without heavy database dependencies. The manifest.yaml should strictly define the supported input JSON-LD schemas.

Ideal Inputs & Outputs

Input:
{
"raw_telemetry_url": "https://opendata.city/traffic/sensor7.json",
"ontology_format": "schema.org/Observation"
}

Output:
{
"semantic_summary": "Sensor 7 at Intersection A reports a 45% increase in particulate matter and 12-minute traffic delays over the last hour.",
"confidence": 0.98
}

Targeted Models (if applicable)

Model Agnostic (All)