3 articles tagged with #data-standardization. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.
Researchers introduce Agent Data Protocol (ADP), a standardized format for unifying diverse AI agent training datasets across different formats and tools. The protocol enabled training on 13 unified datasets, achieving ~20% performance gains over base models and state-of-the-art results on coding, browsing, and tool use benchmarks.
A comprehensive survey examines semantic modeling approaches for Building Energy Management (BEM), analyzing 60 semantic models and 20+ ontology-based use cases to address data interoperability challenges. The research identifies significant gaps in how current ontologies represent abstract operational concepts like performance indicators and control logic, highlighting the need for more integrated semantic frameworks to enable autonomous, context-aware building systems.
Researchers developed a semi-structured extraction method for digitizing fragmented clinical reports using OCR and question-answering models, introducing 'key coverage' as a metric to measure data completeness. The approach achieves F1 scores above 0.83 on real-world hospital data from 20+ institutions using a lightweight BERT model, demonstrating that canonical key inventory completeness drives extraction performance.
