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# Linked Data CLI
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A simple command-line utility designed to process JSON-LD, RDF, and CBOR-LD documents. Built with GraalVM, `ld-cli` delivers native executables for Ubuntu, macOS, and Windows - eliminating JVM dependencies and runtime overhead.
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A simple command-line utility designed to process JSON-LD, RDF, CBOR-LD, and multiformats documents.
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Supports batch workflows, canonicalization, serialization, encoding, decoding, and format conversion for linked data resources, binary identifiers, and content addressing formats in knowledge graphs, decentralized identifiers (DIDs), and semantic web applications.
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It's ideal for batch workflows, automated validation, canonicalization, and serialization of linked data resources in knowledge graphs, decentralized identifiers (DIDs), and semantic web applications.
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Built with GraalVM, `ld-cli` delivers native executables for Ubuntu, macOS, and Windows - eliminating JVM dependencies.
Linked Data CLI (`ld-cli`) is a command-line tool for processing and transforming linked data formats,
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including:
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Linked Data CLI (`ld-cli`) is a command-line tool for processing and transforming linked data formats, including:
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• JSON-LD (JavaScript Object Notation for Linked Data)
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• RDF (Resource Description Framework)
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• RDFC (RDF Canonicalization)
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• JCS (JSON Canonicalization Scheme)
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• CBOR-LD (Concise Binary Object Representation for Linked Data)
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Built with GraalVM, `ld-cli` provides native execution with zero JVM startup overhead.
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It's ideal for batch workflows, automated validation, canonicalization, and serialization of
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linked data resources in knowledge graphs, decentralized identifiers (DIDs), and semantic web applications.
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This Snap includes a precompiled native executable built with GraalVM for optimal performance
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on modern Ubuntu systems.
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• multibase (Base-encoding format with self-describing prefixes)
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• multicodec (Self-describing content type identifiers)
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Supports batch workflows, canonicalization, serialization, encoding, decoding, and format conversion for linked data resources, binary identifiers, and content addressing formats in knowledge graphs, decentralized identifiers (DIDs), and semantic web applications.
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