Open Access
Review
Table 1
OPC-UA features and their alignment with NLP and data mining capabilities.
| OPC-UA feature | Description | NLP applications | Data mining applications |
|---|---|---|---|
| Standardized Information Modeling | Object-oriented model representing complex data relationships and hierarchies | Text structure analysis, Document classification | Feature engineering, Relationship learning, Graph-based ML |
| Real-time Data Communication | Supports streaming and historical data access | Real-time text analytics, Stream processing | Online learning, Real-time predictions, Time series analysis |
| Semantic Data Description | Includes metadata and contextual information about data points | Natural language understanding, Semantic analysis, Information extraction | Semantic feature extraction, Context-aware modeling |
| Security and Authentication | Built-in encryption, authentication, and access control | Secure text processing, Privacy-preserving NLP | Secure ML model deployment, Protected data training |
| Information Modeling | Hierarchical data representation | Document structure analysis, Topic modeling | Hierarchical clustering, Deep learning architectures |
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