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
