Metadata-Version: 1.1
Name: ferenda
Version: 0.1.6.1
Summary: Transform unstructured document collections to structured Linked Data
Home-page: http://lagen.nu/ferenda/
Author: Staffan Malmgren
Author-email: staffan.malmgren@gmail.com
License: BSD
Description: Ferenda is a python library and framework for transforming
        unstructured document collections into structured Linked Data. It
        helps with downloading documents, parsing them to add explicit
        semantic structure and RDF-based metadata, finding relationships
        between documents, and publishing the results.
        
        .. image:: https://travis-ci.org/staffanm/ferenda.png?branch=master
            :target: http://travis-ci.org/staffanm/ferenda/
        
        .. image:: https://coveralls.io/repos/staffanm/ferenda/badge.png?branch=master
            :target: https://coveralls.io/r/staffanm/ferenda
        
        Quick start
        -----------
        
        This example uses ferenda's project framework to download the 50
        latest RFCs and W3C standards, parse documents into structured,
        RDF-enabled XHTML documents, loads all RDF metadata into a triplestore
        and generates a web site of static HTML5 files that are usable
        offline::
        
            pip install ferenda
            ferenda-setup myproject
            cd myproject
            ./ferenda-build.py ferenda.sources.tech.RFC enable
            ./ferenda-build.py ferenda.sources.tech.W3Standards enable
            ./ferenda-build.py all all --downloadmax=50 --staticsite --fulltextindex=False
            open data/index.html
        
        The same functionality can also be accessed through a python API, if
        you want to use ferenda as part of a larger system. It's also possible
        to just use the parts of ferenda that you need (eg. only the
        downloading and parsing features).
        
        More information
        ----------------
        
        See http://ferenda.readthedocs.org/ for in-depth documentation.
        
        Copyright and license
        ---------------------
        
        Most of the code written by Staffan Malmgren, licensed under the main
        2-clause BSD license.
        
        Some bundled code and other creative works are written by other
        authors, included in accordance with their respective licenses:
        
        * cssmin by Zachary Voase (https://pypi.python.org/pypi/cssmin/), BSD
        * rdflib-sqlite by Graham Higgins
          (https://github.com/RDFLib/rdflib-sqlite), BSD
        * patch by Anatoly Techtonik
          (https://code.google.com/p/python-patch/), MIT
        * Grit XSLT by Niklas LindstrÃ¶m
          (http://code.google.com/p/oort/wiki/Grit), BSD
        * httpheader by Deron Meranda
          (http://deron.meranda.us/python/httpheader/), LGPL
        * normalize.css (git.io/normalize), MIT
        * responsive template (verekia.com/initializr/responsive-template), PD
        * jquery (http://jquery.com), MIT
        * modernizr (http://modernizr.com), MIT
        * respond.js (http://github.com/scottjehl/Respond), MIT/GPL
        * Gentleface wireframe toolbar icons
          (http://gentleface.com/free_icon_set.html), CC-BY-NC
          
         
        
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Environment :: Console
Classifier: Environment :: Web Environment
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.6
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.2
Classifier: Programming Language :: Python :: 3.3
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Internet :: WWW/HTTP :: WSGI :: Application
Classifier: Topic :: Text Processing
Classifier: Topic :: Text Processing :: Indexing
Classifier: Topic :: Text Processing :: Markup :: XML
