Data · dataset · 2023
Ontology for the selection of measurement equipment in immature production processes using case-based reasoning
Listed in RADAR and RADAR4Memory — shown once because both records carry DOI 10.35097/1699
Automating the selection process of operating resources in production engineering, e.g., measurement systems, using data-driven and rule-based approaches, to improve product qualities remains challenging since it involves human experience and decentralized knowledge of different domains.
Description
A decision support system for selecting measurement systems that can be operated in various domains and industries is missing as existing approaches lack applicability in varying domains, and a centralized knowledge base is missing.
This work develops an ontology for measurement systems and tasks to ensure interoperability across domains and applications. Based on this ontology, a knowledge-based decision support system implementing case-based reasoning for selecting measurement systems for a given task is developed. The decision support system recommends suitable measurement systems based on similar measurement tasks performed in the past.
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Analogical reasoning is implemented using knowledge graph embeddings. A centralized knowledge base, consisting of measurement systems and tasks, is instantiated using the example of battery cell manufacturing. The decision support system is then validated by drawing analogical conclusions from the example of battery and fuel cell manufacturing.
Links
Where it is published
- DOI doi.org/10.35097/1699 ↗
DOI / persistent id · from radar service eu de
Catalogue records · 1
- OAI-PMH record radar-service.eu/oai/OAIHandler?verb=GetRecord&metadataPrefix=oai_dc&identifier… ↗
metadata API · from radar service eu de
Topics
- From keywords
- Earth & Environmental Science · Earth & Environmental Science · Engineering · Engineering
- Inferred from text
- Manufacturing engineering 70%
Provenance · 2 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| RADAR | 10.35097/1699 | 13 d ago | JSON v1 |
| RADAR4Memory | 10.35097/1699 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · radar service eu de | connector:radar_service_eu_de@1.0.0 | |
| concepts[field].anzsrc:group:4014 | enrichment · radar service eu de | taxonomy-embedding@1.1.0 | title+keywords+description (70%) |
| concepts[field].local:field:earth-environmental | mapping · radar service eu de | connector:radar_service_eu_de@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · radar4memory radar service eu | connector:radar4memory_radar_service_eu@1.0.0 | |
| concepts[field].local:field:engineering | mapping · radar service eu de | connector:radar_service_eu_de@1.0.0 | |
| concepts[field].local:field:engineering | mapping · radar4memory radar service eu | connector:radar4memory_radar_service_eu@1.0.0 | |
| description | source · radar service eu de | connector:radar_service_eu_de@1.0.0 | /metadata/dc/description |
| license | source · radar service eu de | connector:radar_service_eu_de@1.0.0 | /metadata/dc/rights |
| publication_date | source · radar service eu de | connector:radar_service_eu_de@1.0.0 | |
| title | source · radar service eu de | connector:radar_service_eu_de@1.0.0 | /metadata/dc/title |