ModellingUS & West
Multimodal Embeddings for 3D Similarity Search in Semantic IoT Platforms
A framework is proposed that extends Semantic Web of Things platforms with a multimodal embedding layer. Ontology-typed entities comprising 3D point clouds, temporal attributes, and semantic labels are encoded into latent vector representations stored alongside the knowledge graph, enabling hybrid ontology-vector queries.
Why it matters
Important for integrating heterogeneous data and similarity search in digital twins of infrastructure, relevant to asset management and data storage challenges.
Relevant to DT products
- Original headline
- Multimodal Embeddings for 3D Similarity Search in Semantic Web-of-Things Digital-Twin Platforms
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