XSaiga-1.0.0.0: XSaiga.cabal

-- Initial XSaiga.cabal generated by cabal init.  For further 
-- documentation, see http://haskell.org/cabal/users-guide/

name:                XSaiga
version:             1.0.0.0
synopsis:            An implementation of a polynomial-time top-down parser suitable for NLP
-- description:         
homepage:            http://hafiz.myweb.cs.uwindsor.ca/proHome.html
license:             BSD3
license-file:        LICENSE
author:              Dr. Rahmatullah Hafiz, Dr. Richard Frost, Shane Peelar, and Eric Matthews
maintainer:          peelar@uwindsor.ca
-- copyright:           
category:            Text
build-type:          Simple
cabal-version:       >=1.8

description:
		This package contains an implementation of the X-SAIGA project's top-down polynomial-time parser which is suitable for natural language processing (NLP)
		applications[1][2].  An example program "Solarman" is included which uses the parser to transform natural language queries about the solar system
		into combinators which compute the correct answer.  Solarman uses event-based triplestore semantics[3] as the basis for the computation, using either
		a SPARQL endpoint or an in-program triplestore as the source of information.  By default, the built-in triplestore is used.  Solarman conforms
		to the CGI interface and can be put on any conforming webserver.  For more information about Solarman and the queries it supports, see [4].
		.
		\[1] <http://cs.uwindsor.ca/~richard/PUBLICATIONS/PADL_10.pdf>
		.
		\[2] <http://cs.uwindsor.ca/~richard/PUBLICATIONS/PADL_08.pdf>
		.
		\[3] <http://cs.uwindsor.ca/~richard/PUBLICATIONS/ESWC_DEMO.pdf>
		.
		\[4] <http://speechweb2.cs.uwindsor.ca/solarman/demo_instore.html>

Library
  build-depends: base, pretty
  exposed-modules: AGParser2, TypeAg2

Executable Solarman
  main-is: Main.hs             
  other-modules:  SolarmanTriplestore Getts   
  build-depends:  base ==4.6.*, containers ==0.5.*, pretty ==1.1.*, cgi ==3001.1.*, rdf4h ==1.2.*, hsparql ==0.2.*, text ==0.11.*
  extensions: DoAndIfThenElse