Speaker
Description
Battery lifecycle assessment (LCA) increasingly depends on heterogeneous and rapidly evolving datasets originating from manufacturing, operation, second-life use, and recycling contexts. However, these datasets are often encoded in incompatible formats, making reuse, interoperability, and transparent data exchange difficult across projects and organizations. At the same time, sustainability practitioners are seeking more reproducible and machine-readable workflows that can support collaborative modeling, traceability, and future AI-assisted analysis.
This workshop introduces a practical semantic-web workflow for organizing and querying battery lifecycle information using interoperable ontologies and knowledge graphs. Participants will explore a populated battery knowledge graph built from four connected ontologies: the Battery Production Ontology (BPO), the Battery Use Ontolgy (BUO), the Digital Battery Passport ontology (DBP), and BattReLife for battery circularity and end-of-life modeling. The workshop uses RDF, OWL, SHACL, SPARQL, Python notebooks, and a hosted GraphDB environment to demonstrate how lifecycle data can be transformed into reusable, queryable knowledge structures.
The session combines a short conceptual introduction with guided hands-on activities. Participants will execute and modify SPARQL queries on a benchmark dataset containing populated battery-pack instances. The exercises demonstrate provenance-aware querying, cross-ontology interoperability, and lifecycle-spanning analyses linking production, use-phase, and end-of-life information. No prior ontology experience is required.
This workshop is designed to encourage discussion, experimentation, and community feedback on how semantic technologies can support more transparent and collaborative sustainability assessment workflows.
| How much time do you ideally wish for your contribution? | 45 min (Plenum Discussion; Workshop) |
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