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+# LSUP_RDF
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+
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+**This project is work in progress.**
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+
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+This C library was initially meant to replace RDFLib dependency and Cython code
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+in [Lakesuperior](https://github.com/scossu/lakesuperior) in an effort to
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+reduce code clutter and speed up RDF handling; it later became a project for an
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+independent RDF library. Initial experiments with Redland as a more efficient
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+replacement for RDFLib were not successful due to the complexity of the API and
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+the lack of an adequate persistent back end.
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+
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+This library makes two graph back ends available: a memory one based on hash
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+maps and a disk-based one based on LMDB, an extremely fast and compact embedded
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+key-store value. Graphs can be created independently with either back end
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+within the same program. Triples in the persistent back end are fully indexed
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+and optimized for a balance of lookup speed, data compactness, and write
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+performance (in order of importance).
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+
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+The API is not yet defined and at the moment this project is only intended for
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+curious developers and researchers.
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+
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+This is also my first stab at writing a C library (coming from Python) and an
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+unpaid fun project, so don't be surprised if you find some gross stuff.
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+
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+## In Scope – Short Term
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+
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+The short-term goal is to support usage in Lakesuperior and a workable set
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+of features as a standalone library:
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+
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+- Handling of graphs, triples, terms
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+- Memory- and disk-backed (persistent) graph storage
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+- Contexts (disk-backed only)
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+- Handling of blank nodes
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+- Validation of literal and URI terms
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+- Validation of RDF triples
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+- Fast graph Lookup using matching patterns
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+- Graph boolean operations
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+- Serialization and de-serialization to/from N-Triples and Turtle
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+- Compile-time configuration of max graph size (efficiency vs. huge capacity)
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+- Python bindings
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+
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+## Possibly In scope – Long Term
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+
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+- SPARQL queries (We'll see... Will definitely need help)
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+- Binary serialization and hashing of graphs
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+- Lua bindings
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+- C++ bindings (requires external contribution)
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+
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+## Likely Out of Scope
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+
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+- JSON-LD serialization
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Stefano Cossu