SOURCE-LINKED INTELLIGENCE
AAS-RAIL: Improving Information Extraction for Asset Administration Shells through Retrieval-Augmented In-Context Learning
The Asset Administration Shell (AAS) is a cornerstone of Industry 4.0 and the Digital Product Passport, providing standardized digital representations of industrial assets. While manufacturers already maintain extensive technical product documentation, generating AAS instances from existing product datasheets remains a labor-intensive task because technical information is extracted from heterogeneous document structures and often involves company-specific terminology and conventions. In this work, we present AAS-RAIL, a retrieval-augmented information extraction (IE) approach that automaticall
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-07T10:54:00.000Z
First collected: 2026-09-20T20:52:10.320Z. This is not the publication date.