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UID:pretalx-foss4g-europe-2025-C9SGKH@talks.staging.osgeo.org
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DESCRIPTION:This presentation explores the innovative integration of Large 
 Language Models (LLMs) into geospatial applications\, focusing on vector d
 ata and location intelligence. Unlike traditional computer vision or image
 ry-based machine learning\, this session delves into how LLMs can enhance 
 the querying\, analysis\, and interpretation of geospatial tabular data.\n
 \n1. Metadata Enrichment: Learn how LLMs can enhance metadata\, improving 
 the discoverability and usability of your geospatial datasets.\n2. Natural
  Language Queries: Discover how LLMs can interpret and respond to natural 
 language queries\, making geospatial data more accessible to non-technical
  users.\n3. Semantic Search: Understand how LLMs can elevate full-text sea
 rch by comprehending the context and meaning of your queries\, enabling mo
 re accurate and relevant results.\n4. Intent Recognition: Explore how LLMs
  can discern user intent\, whether it's displaying data on a map\, searchi
 ng for a dataset\, or performing an analysis.\n5. Reasoning and Function C
 alling: See how LLMs can leverage reasoning and function calling to addres
 s complex geospatial queries and tasks.\n6. Conversational Interaction: Ex
 perience how LLMs can engage in conversational interactions\, providing a 
 more intuitive user experience.\n7. Text-to-SQL Transformation: Witness ho
 w LLMs can convert natural language requests into precise data queries\, i
 ncluding geospatial filtering and aggregation.\n\nThe demonstrations and e
 xamples in this presentation are built upon Free and Open Source geospatia
 l solutions and adhere to OGC standards\, ensuring interoperability and ac
 cessibility.\n\nBy the end of this presentation\, attendees will gain a fr
 esh perspective on the potential of LLMs in geospatial applications\, with
  practical insights and real-world applications that can transform how you
  interact with and leverage your geospatial data.\n\nhttps://docs.google.c
 om/presentation/d/17NhyA5xZ02JqWVHqRjM5cO5ULd3r_ypisE0HEK1QhA0/edit?usp=sh
 aring
DTSTAMP:20260527T163023Z
LOCATION:SA02
SUMMARY:LLMs for geospatial data & metadata - Florent Gravin
URL:https://talks.staging.osgeo.org/foss4g-europe-2025/talk/C9SGKH/
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