OmEGa(Ω): Ontology-based information extraction framework for constructing task-centric knowledge graph from manufacturing documents with large language model
Abstract: Highlights•Task-centric ontology is designed to describe fundamental manufacturing tasks.•Ontology-based Information Extraction Framework constructs task-centric KG.•Data augmentation alleviates contextual challenges of domain-specific document.•Spatial embedding relieves structure challenges of multimodal manufacturing document.•Experiments on both proprietary and open-source datasets show strong performance.
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