RDF Viewer

Parses and visualizes RDF graphs, validating syntax, converting formats, and enabling structural inspection for developers and knowledge engineers.

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About This Tool

The tool parses RDF data in common serializations, validates syntax, and builds an in-memory graph. It supports Turtle, RDF/XML, JSON-LD, N-Triples, and TriG, with an optional base IRI and prefixes. Conceptually, it represents triples as a graph and exposes a serialization-agnostic model that can be exported to JSON graph, JSON-LD, Turtle, or RDF/XML. This supports ontology debugging, data integration planning, and schema alignment for knowledge graphs. Unique value lies in combined parsing, graph view, and multi-format output without relying on external services. Core features include format support, prefix management, subgraph extraction, and a basic graph exploration capability for developers and data engineers. Typical use cases include data validation, transformation prep, and ontology inspection.

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How to Use

Provide RDF data in a supported format (Turtle, RDF/XML, JSON-LD, N-Triples, TriG).
Select input format and optional base IRI or prefixes.
Run parsing to build the internal graph and detect syntax errors.
Inspect the derived graph, exportable formats, or query-ready results.
Export as JSON graph, JSON-LD, Turtle, or RDF/XML as needed.

Frequently Asked Questions

Find Quick Answers

Which RDF formats are supported?

Supported formats include Turtle, RDF/XML, JSON-LD, N-Triples, and TriG. The parser reports syntax errors with line and column numbers when available to aid debugging.

Can I export the graph to other formats?

Yes. The tool can export to JSON graph, JSON-LD, Turtle, and RDF/XML, preserving triples, language tags, and prefixes where possible, to support downstream workflows.

How large a dataset can be processed?

Performance depends on memory and processing constraints. Typical workloads handle thousands of triples; very large graphs may require streaming parsing or result pagination to manage resources efficiently.

Is my data stored after processing?

No data is stored on the server by default. Processing can occur client-side or be explicitly configured to persist results, with options to export or discard data after use.

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