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- About Lakesuperior
- ==================
- Lakesuperior is a repository system that stores binary files and their metadata
- as Linked Data. It is a `Fedora Repository <http://fedorarepository.org>`__
- implementation focused on efficiency, stability and integration with Python.
- Fedora is a mature repository software system historically adopted by
- major cultural heritage institutions. It exposes an
- `LDP <https://www.w3.org/TR/ldp-primer/>`__ endpoint to manage
- any type of binary files and their metadata in Linked Data format.
- Guiding Principles
- ------------------
- Lakesuperior aims at being an efficient and flexible Fedora 4 implementation.
- Its main goals are:
- - **Reliability:** Based on solid technologies with stability in mind.
- - **Efficiency:** Small memory and CPU footprint, high scalability.
- - **Ease of management:** Tools to perform monitoring and maintenance
- included.
- - **Simplicity of design:** Straight-forward architecture, robustness
- over features.
- Key features
- ------------
- - Drop-in replacement for Fedora4 (with some :doc:`caveats <fcrepo4_deltas>`)
- - Very stable persistence layer based on
- `LMDB <https://symas.com/lmdb/>`__ and filesystem. Fully
- ACID-compliant writes guarantee consistency of data.
- - Term-based search and SPARQL Query API + UI
- - No performance penalty for storing many resources under the same
- container; no `kudzu
- <https://www.nature.org/ourinitiatives/urgentissues/land-conservation/forests/kudzu.xml>`__
- pairtree segmentation.
- - Extensible :doc:`provenance metadata <model>` tracking
- - :doc:`Multi-modal access <architecture>`: HTTP
- (REST), command line interface and native Python API.
- - Fits in a pocket: you can carry 64M triples in a 32Gb memory stick [#]_.
- Implementation of the official `Fedora API
- specs <https://fedora.info/spec/>`__ and OCFL are currently being
- considered as the next major development steps.
- Please make sure you read the :doc:`Delta document <fcrepo4_deltas>` for
- divergences with the official Fedora4 implementation.
- Target Audience
- ---------------
- Lakesuperior is for anybody who cares about preserving data in the long
- term.
- Less vaguely, Lakesuperior is targeted at who needs to store large
- quantities of highly linked metadata and documents.
- Its Python/C environment and API make it particularly well suited for
- academic and scientific environments who would be able to embed it in a
- Python application as a library or extend it via plug-ins.
- Lakesuperior is able to be exposed to the Web as a `Linked Data
- Platform <https://www.w3.org/TR/ldp-primer/>`__ server. It also acts as
- a SPARQL query (read-only) endpoint, however it is not meant to be used
- as a full-fledged triplestore at the moment.
- In its current status, Lakesuperior is aimed at developers and hands-on
- managers who are interested in evaluating this project.
- Status and development
- ----------------------
- Lakesuperior is in **alpha** status. Please see the `project
- issues <https://github.com/scossu/lakesuperior/issues>`__ list for a
- rudimentary road map.
- Acknowledgements & Caveat
- -------------------------
- Most of this code has been written on the Chicago CTA Blue Line train and, more
- recently, on the Los Angeles Metro 734 bus. The author would like to thank
- these companies for providing an office on wheels for this project.
- Potholes on Sepulveda street may have caused bugs and incorrect documentation.
- Please report them if you find any.
- -------------------
- .. [#] Your mileage may vary depending on the variety of your triples.
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