Sprecher
Beschreibung
Environmental research relies on a wide variety of sensors deployed across oceanic, terrestrial, and atmospheric platforms, yet maintenance metadata remains poorly standardized and difficult to integrate into FAIR-compliant workflows. Metadata is crucial for interpreting sensor data, particularly on research vessels equipped with diverse instruments operating globally. Contextual details including sensor specifications, timestamp, location, etc. are essential for ensuring interoperability and reproducibility of the data.
The MOIN4Herbie project funded by HMC addresses this challenge by integrating maintenance-specific semantic models into Herbie, an electronic laboratory notebook built on an RDF-based collaborative knowledge graph. To support the recording of maintenance activities, we developed the MOIN and MOIN4BoknisEck ontologies. MOIN ontology captures maintenance tasks such as calibration and cleaning, along with the instruments, platforms, and personnel involved, building on established ontologies including SSN/SOSA and PROV-O. Because maintenance procedures vary substantially across sensor types, manufacturers, environmental conditions, and operational protocols, the MOIN4BoknisEck ontology captures use-case-specific requirements.
Using these ontologies in combination with SHACL, we implemented backend and frontend protocols that generate ontology-driven web forms in Herbie. Users enter maintenance information through user-friendly interface, after which Herbie validates the input, applies semantic annotations, and stores the enriched metadata directly in the knowledge graph.
Core device metadata about sensors and platforms are retrieved from O2A registry and ingested into MOIN4Herbie via Registry2RDF module and it is stored as structured RDF records capturing key details such as involved instruments, and responsible personnel. Correspondingly maintenance metadata recorded in MOIN4Herbie, including calibration and cleaning, these records are queried via SPARQL and automatically exported to the O2A Registry through API, reducing manual metadata handling and improving interoperability. Additionally, integration with the OGC SensorThings API enables linkage between maintenance metadata and sensor data streams, further enhancing accessibility across systems.
| Alternative Track | 8. Semantics in Practice: Domain & Application Ontologies |
|---|