Swish - which stands for Semantic Web Inference Scripting in Haskell - was written by Graham Klyne as a framework, written in the purely functional programming language Haskell, for performing deductions in RDF data using a variety of techniques. Swish was conceived as a toolkit for experimenting with RDF inference, and for implementing stand-alone RDF file processors (usable in similar style to CWM, but with a view to being extensible in declarative style through added Haskell function and data value declarations). One of the aims was to explore Haskell as "a scripting language for the Semantic Web".
It was updated from version 0.2.1 by Vasili I Galchin so that it would build with the current version of GHC, and released on Hackage.
Since then it has been updated to take advantage of recent developments in the Haskell ecosystem, add support for the NTriples and Turtle serialisation formats, and a number of convenience functions. Development is done on the bitbucket site; there is an outdated version on GitHub, which was being used for its access to Travis.
I attempt to keep Swish buildable on recent GHC versions - at present back to GHC 7.4 - but it is done on a best-effort basis, so is not guaranteed.
Current development is based on my own needs, which are more about using this as a RDF library for I/O with limited querying rather than for inferencing or use as a flexible graph-processing library (e.g. for extensions to non-RDF models).
(c) 2003, 2004 G. Klyne (c) 2009 Vasili I Galchin (c) 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018 Doug Burke
All rights reserved.
Haskell and the Semantic Web
Other Haskell packages for RDF support include
The following commands will install a command-line tool
with the modules in the
Swish namespace; documentation can be found
Install a recent version of the Haskell platform and then try
% cabal update % cabal install swish
There are several stack configuration files, for different GHC versions:
% cd swish % stack install % STACK_YAML=stack-8.0.yaml stack install % STACK_YAML=stack-7.10.yaml stack install % STACK_YAML=stack-7.8.yaml stack install