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cow-csvw-1.21
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Integrated CSV to RDF converter, using CSVW and nanopublications
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | cow-csvw-1.21 |
| نام | cow-csvw |
| نسخه کتابخانه | 1.21 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Albert Meroño-Peñuela, Roderick van der Weerdt, Rinke Hoekstra, Kathrin Dentler, Auke Rijpma, Richard Zijdeman, Melvin Roest, Xander Wilcke |
| ایمیل نویسنده | albert.merono@vu.nl |
| آدرس صفحه اصلی | https://github.com/CLARIAH/COW |
| آدرس اینترنتی | https://pypi.org/project/cow-csvw/ |
| مجوز | MIT |
## CoW: Integrated CSV to RDF Converter
> CoW (Csv on the Web) is an integrated CSV to RDF converter that uses the W3C standard [CSVW](https://www.w3.org/TR/tabular-data-primer/) for rich semantic table specificatons, and [nanopublications](http://nanopub.org/) 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](https://github.com/pallets/jinja) template enginge
- Highly efficient implementation leveraging multithreaded and multicore architectures
- Available as a pythonic [CLI tool](#cli), [library](#library), and [web service](#web-service)
- Supports Python 3
### Documentation and support
For user documentation see the basic introduction video https://t.co/SDWC3NhWZf and [wiki](https://github.com/clariah/cow/wiki/). Technical details are provided below. If you encounter an issue then please [report](https://github.com/CLARIAH/COW/issues/new/choose) it. Also feel free to create pull requests!
### 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 (in MacOS: `/etc/paths`. For Windows/MacOS we recommend to install Python via the [official distribution page](https://www.python.org/downloads/). You can also use [virtualenv](https://virtualenv.pypa.io/en/latest/) to avoid conflicts with your system libraries
- Please [report your unlisted issue](https://github.com/CLARIAH/CoW/issues/new)
If you can't/don't want to deal with installing CoW, you can use the [cattle](http://cattle.datalegend.net/) [web service version](#web-service) (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](#options) below, the examples in the [wiki](https://github.com/CLARIAH/CoW/wiki), and the [technical documentation](http://csvw-converter.readthedocs.io/en/latest/).
##### 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](http://cattle.datalegend.net/). 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)
```
### Technical documentation
Technical documentation for CoW are maintained in this GitHub repository (under <docs>), and published through [Read the Docs](http://readthedocs.org) 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](https://github.com/CLARIAH/COW/wiki) provides more hands-on examples of transposing CSVs into Linked Data
### License
MIT License (see [license.txt](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.
نحوه نصب
نصب پکیج whl cow-csvw-1.21:
pip install cow-csvw-1.21.whl
نصب پکیج tar.gz cow-csvw-1.21:
pip install cow-csvw-1.21.tar.gz