cow-csvw 1.15

Integrated CSV to RDF converter, using CSVW and nanopublications

CoW: Integrated CSV to RDF Converter

CoW (Csv on the Web) is an integrated CSV to RDF converter that uses the W3C standard CSVW for rich semantic table specificatons, and nanopublications as an output RDF model

What is CoW

CoW is a command-line utility to convert any CSV file into an RDF dataset. Its distinctive features are:

• Expressive CSVW-compatible schemas based on the Jinja template enginge
• Highly efficient implementation leveraging multithreaded and multicore architectures
• Available as a pythonic CLI tool, library, and web service
• Supports Python 3

Install (requires Python to be installed)

pip3 is the recommended method of installing COW in your system:

pip3 install cow-csvw

You can upgrade your currently installed version with:

pip3 install cow-csvw --upgrade

Possible issues:

• Permission issues. You can get around them by installing CoW in user space: pip3 install cow-csvw --user. Make sure your binary user directory (typically something like /Users/user/Library/Python/3.7/bin in MacOS or /home/user/.local/bin in Linux) is in your PATH. For Windows/MacOS we recommend to install Python via the official distribution page. You can also use virtualenv to avoid conflicts with your system libraries
• Please report your unlisted issue

If you can't/don't want to deal with installing CoW, you can use the cattle web service version (deprecated).

Usage

CLI

The CLI (command line interface) is the recommended way of using CoW for most users. The straightforward CSV to RDF conversion is done in two steps. First:

cow_tool build myfile.csv

This will create a file named myfile.csv-metadata.json (from now on: JSON schema file or just JSF). You don't need to worry about this file if you only want a syntactic conversion. Then:

cow_tool convert myfile.csv

Will output a myfile.csv.nq RDF file (nquads by default; you can control the output RDF serialization with e.g. --format turtle). That's it!

If you want to control the base URI namespace, URIs used in predicates, virtual columns, and the many other features of CoW, you'll need to edit the myfile.csv-metadata.json JSF and/or use CoW arguments. Have a look at the CLI options below, the examples in the wiki, and the technical documentation.

Options

Check the --help for a complete list of options:

usage: cow_tool [-h] [--dataset DATASET] [--delimiter DELIMITER]
                [--quotechar QUOTECHAR] [--encoding ENCODING] [--processes PROCESSES]
                [--chunksize CHUNKSIZE] [--base BASE]
                [--format [{xml,n3,turtle,nt,pretty-xml,trix,trig,nquads}]]
				[--gzip] [--version]
                {convert,build} file [file ...]

Not nearly CSVW compliant schema builder and RDF converter

positional arguments:
  {convert,build}       Use the schema of the `file` specified to convert it
                        to RDF, or build a schema from scratch.
  file                  Path(s) of the file(s) that should be used for
                        building or converting. Must be a CSV file.

optional arguments:
  -h, --help            show this help message and exit
  --dataset DATASET     A short name (slug) for the name of the dataset (will
                        use input file name if not specified)
  --delimiter DELIMITER
                        The delimiter used in the CSV file(s)
  --quotechar QUOTECHAR
                        The character used as quotation character in the CSV
                        file(s)
  --encoding ENCODING   The character encoding used in the CSV file(s)

  --processes PROCESSES
                        The number of processes the converter should use
  --chunksize CHUNKSIZE
                        The number of rows processed at each time
  --base BASE           The base for URIs generated with the schema (only
                        relevant when `build`ing a schema)
  --gzip 				Compress the output file using gzip
  --format [{xml,n3,turtle,nt,pretty-xml,trix,trig,nquads}], -f [{xml,n3,turtle,nt,pretty-xml,trix,trig,nquads}]
                        RDF serialization format
  --version             show program's version number and exit

Web service

There is web service and interface running CoW, called cattle. Two public instances are running at:

• http://cattle.datalegend.net/ - runs CoW in Python3
• http://legacy.cattle.datalegend.net/ - runs CoW in Python2 for legacy reasons

Beware of the web service limitations:

• There's a limit to the size of the CSVs you can upload
• It's a public instance, so your conversion could take longer
• Cattle is no longer being maintained and these public instances will eventually be taken offline

Library

Once installed, CoW can be used as a library as follows:

from cow_csvw.csvw_tool import CoW
import os

COW(mode='build', files=[os.path.join(path, filename)], dataset='My dataset', delimiter=';', quotechar='\"')

COW(mode='convert', files=[os.path.join(path, filename)], dataset='My dataset', delimiter=';', quotechar='\"', processes=4, chunksize=100, base='http://example.org/my-dataset', format='turtle', gzipped=False)

Documentation

Technical documentation for CoW are maintained in this GitHub repository (under ), and published through Read the Docs at http://csvw-converter.readthedocs.io/en/latest/.

To build the documentation from source, change into the docs directory, and run make html. This should produce an HTML version of the documentation in the _build/html directory.

Examples

The wiki provides more hands-on examples of transposing CSVs into Linked Data

License

MIT License (see license.txt)

Acknowledgements

Authors: Albert Meroño-Peñuela, Roderick van der Weerdt, Rinke Hoekstra, Kathrin Dentler, Auke Rijpma, Richard Zijdeman, Melvin Roest, Xander Wilcke

Copyright: Vrije Universiteit Amsterdam, Utrecht University, International Institute of Social History

CoW is developed and maintained by the CLARIAH project and funded by NWO.