# Introduction 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 wass 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" (http://www.ninebynine.org/RDFNotes/Swish/Intro.html). It was updated from version 0.2.1 by Vasili I Galchin so that it would build with recent version of GHC (http://hackage.haskell.org/package/swish-0.2.1). 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 at https://bitbucket.org/doug_burke/swish/. # Aim 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). # Haskell and the Semantic Web Other Haskell packages for RDF support include * rdf4h http://hackage.haskell.org/package/rdf4h * hsparql http://hackage.haskell.org/package/hsparql * hasparql-client http://hackage.haskell.org/package/hasparql-client # Installation Install a recent version of the Haskell platform (http://hackage.haskell.org/platform/) and then try % cabal update % cabal install swish This will install a command-line tool `Swish` along with the modules in the `Swish` namespace; documentation can be found at http://hackage.haskell.org/package/swish .