Voyager Search: Unlocking Interoperability and Insight: Enriching and Connecting Geospatial Data through AI, Standards, and Smart Discovery


Voyager Search proposes a demonstrator platform that showcases how AI-driven metadata enrichment, standards-based interoperability, and intelligent search capabilities can modernize Spatial Data Infrastructures (SDIs). Their COTS platform automatically ingests, enriches, and catalogs geospatial data from a wide range of sources and formats, turning fragmented data into accessible, analysis-ready resources. It also facilitates model-data association, helping users understand not only what data exists but also how it can be used.

Key Features

  • AI/ML-Powered Metadata Enrichment
    Applies natural language processing and machine learning to extract keywords, classify content, detect spatial/temporal features, and assess data quality. Enriches metadata with lineage, provenance, and validation tags for transparency and trust.
  • Self-Updating, Real-Time Catalogs
    Continuously monitors for content changes and automatically refreshes metadata, ensuring up-to-date catalogs.
  • Flexible Data Access
    Connects to diverse data sources including cloud storage, APIs, file systems, and OGC services (WMS, WFS, STAC). Ingests and harmonizes structured and unstructured content.
  • Intelligent Discovery & Model Linking
    Enables semantic, spatial, and natural language queries across datasets. Tags datasets with unique IDs and links them to compatible analytical models, enhancing usability and reproducibility.
  • Standards-Based Interoperability
    Transforms metadata into ISO 19115, DCAT, and other SDI-aligned schemas. Publishes enriched metadata via OGC Web APIs, supporting integration with external catalogs and national SDIs.

Benefits & Impact

  • Modernizes SDIs with Proven, Scalable Technology
    Brings operational tools used by USDA, NGA, and DOT into the broader SDI ecosystem.
  • Reduces Manual Effort with Automated Metadata Workflows
    Enhances metadata quality and discoverability without the burden of manual tagging or formatting.
  • Improves Trust, Governance, and Data Reuse
    Metadata includes detailed lineage and validation metrics, supporting auditable, reliable data pipelines.
  • Accelerates Insight and Decision-Making
    Intelligent search and model-ready metadata enable faster discovery and application of data in analytical workflows.
  • Bridges AI and Geospatial Standards
    Demonstrates practical integration of AI tools with OGC standards, unlocking future-ready capabilities.

Use Cases

  • Geospatial metadata catalogs
  • Secure data environments
  • Scientific modeling and analytics
  • Search portals with natural language support
  • Data integration for government and defense