PubliSci

gem install publisci

Most of the gem's functions can be accessed through its DSL

require 'publisci'
include PubliSci::DSL

# Specify input data
data do
  # use local or remote paths
  source 'https://github.com/wstrinz/publisci/raw/master/spec/csv/bacon.csv'

  # specify datacube properties
  dimension 'producer', 'pricerange'
  measure 'chunkiness'

  # set parser specific options
  option 'label_column', 'producer'
end

# Describe dataset
metadata do
  dataset 'bacon'
  title 'Bacon dataset'
  creator 'Will Strinz'
  description 'some data about bacon'
  date '1-10-2010'
end

# Send output to an RDF::Repository
#  can also use 'generate_n3' to output a turtle string
repo = to_repository

# run SPARQL queries on the dataset
PubliSci::QueryHelper.execute('select * where {?s ?p ?o} limit 5', repo)

# export in other formats
PubliSci::Writers::ARFF.new.from_store(repo)

Running the gem using the publisci executable will attempt to find and run an triplifier for your input.

For example, the following

publisci https://github.com/wstrinz/publisci/raw/master/spec/csv/bacon.csv

Is equivalent to the DSL code

require 'publisci'
include PubliSci::DSL

data do
  source 'https://github.com/wstrinz/publisci/raw/master/spec/csv/bacon.csv'
end

generate_n3

The API doc is online. For more code examples see the test files in the source tree.

Building a parser simply requires you to implement a generate_n3 method, either at the class or instance level. Then register it using Publisci::Dataset.register_reader(extension, class) using your reader's preferred file extension and its class. This way, if you call the Dataset.for method on a file with the given extension it will use your reader class.

Including or extending the Publisci::Readers::Base will give you access to many helpful methods for creating a triplifying your data. There is a post on the project blog with further details about how to design and implement a parser.

The interface is in the process of being more rigdly defined to separate parsing, generation, and output, and it is advisable to you make your parsing code as stateless as possible for better handling of large inputs. Pull requests with parsers for new formats are greatly appreciated however!

Information on the source tree, documentation, examples, issues and how to contribute, see

http://github.com/wstrinz/publisci

The BioRuby community is on IRC server: irc.freenode.org, channel: #bioruby.

If you use this software, please cite

• The Ruby Science Foundation. 2013. SciRuby: Tools for scientific computing in Ruby. http://sciruby.com.

and one of

• BioRuby: bioinformatics software for the Ruby programming language
• Biogem: an effective tool-based approach for scaling up open source software development in bioinformatics

This Biogem is published at (http://biogems.info/index.html#publisci)

Copyright (c) 2013 wstrinz. See LICENSE.txt for further details.