DISQOVER Export
Fully harmonized, provenance-rich data in industry-standard formats, ready to integrate into your ecosystem without losing semantics, context, or traceability.
Get started todayThe challenge
Life sciences teams depend on high-quality, interoperable data to power analytics, modeling, and AI workflows. But raw datasets are often fragmented, inconsistently modeled, and difficult to reuse outside their original systems.
DISQOVER Export solves this by delivering fully harmonized, provenance-rich data in industry-standard formats, ready to integrate directly into graph databases, triple stores, BI tools, and machine learning pipelines.
Core features and capabilities
Exported data keeps the exact ontology mappings, entity relationships, and graph structure defined in the DISQOVER Knowledge Graph, ensuring consistency across ecosystems and teams.
Ideal for triple stores, semantic layers, FAIR workflows, or downstream knowledge graphs (including Neo4j via RDF import pipelines).
Anything you build in Explore, including saved filters, enriched views, and curated result sets, can be exported as structured data for downstream use.
Every exported value includes its source metadata, enabling compliance, auditability, and trust throughout your analytical and regulatory processes.
Besides graph formats, DISQOVER Export supports XLSX, CSV, JSON, Parquet, and other lightweight outputs.
Subgraph Export
With both Parquet and TTL export functionality, users can export targeted subsets of their knowledge graph, such as specific concepts or relationships, and bring only what's relevant into downstream analytics environments. This makes it easy to extend DISQOVER insights into data science workflows, BI tools, or AI pipelines, without unnecessary noise, data volume, or loss of context.
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Export Formats
DISQOVER Export transforms connected knowledge into portable, standards-based datasets you can use anywhere, without losing semantics, context, or traceability.
Rich, semantic graph format that preserves ontology structure, relationships, and provenance, ideal for triple stores and graph environments.
Optimized, columnar storage format for high-performance analytics and machine learning workloads at scale.
Lightweight tabular export for quick analysis, visualization tools, and ad hoc workflows across any team.
Flexible structured output for APIs, dashboards, scripting, and integration into modern data pipelines.
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Integrate trusted, structured life sciences data directly into your pipelines, models, and tools.
Get started today
ONTOFORCE enables life science companies to unlock hidden insights from data.
With DISQOVER, built on knowledge graph technology, we support life sciences and pharmaceutical companies with innovative data management and visualization.
