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STRATOS framework bridges symbolic-numeric gap for meteorological data queries

By PulseAugur Editorial · [2 sources] ·

Researchers have developed STRATOS, a new Text-to-SQL framework designed to handle complex spatio-temporal meteorological data from sources like Copernicus. This system addresses the "Symbolic-to-Numeric" gap by mapping natural language queries to a localized ontology and resolving spatial entities. STRATOS also optimizes expensive spatial predicates, significantly reducing query execution times from hours to seconds. To evaluate its performance, a new STRATOS Evaluation Workload was created, featuring over 7,500 complex query pairs developed by domain experts. AI

IMPACT Enables more accessible and efficient querying of large-scale meteorological datasets, potentially accelerating climate research and policy analysis.

RANK_REASON The cluster describes a new research paper detailing a novel framework and evaluation workload for a specific domain.

Read on arXiv cs.MA (Multiagent) →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

STRATOS framework bridges symbolic-numeric gap for meteorological data queries

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COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Yi Zhang, Farhad Nooralahzadeh, Jonathan F\"urst, Fabio Scherrer, Antonis Bezes, Vassiliki Kotroni, Kurt Stockinger ·

    STRATOS: Bridging the Symbolic-to-Numeric Gap in Spatio-Temporal Text-to-SQL for Meteorological Data

    arXiv:2607.03501v1 Announce Type: cross Abstract: Copernicus, the European Union's Earth observation program, produces petabytes of Earth observation and climate data, offering immense potential for research, policy, and applications. However, access to these datasets requires ad…

  2. arXiv cs.MA (Multiagent) TIER_1 English(EN) · Kurt Stockinger ·

    STRATOS: Bridging the Symbolic-to-Numeric Gap in Spatio-Temporal Text-to-SQL for Meteorological Data

    Copernicus, the European Union's Earth observation program, produces petabytes of Earth observation and climate data, offering immense potential for research, policy, and applications. However, access to these datasets requires advanced programming skills and familiarity with dom…

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