entityrdfizer
pypi i entityrdfizer

entityrdfizer

A knowledge-graph-based digital twin of the world.

by cambridge-cares

1.0.6 (see all)License:MIT
pypi i entityrdfizer
Readme

Description

The entityrdfizer project is designed to convert entities of any domain and their data and metadata into RDF. It requires the entities and their data to be provided as inputs in an ABox CSV template, that is filled in with data. A group of ABox CSV template files are provided under the following URL: https://github.com/cambridge-cares/TheWorldAvatar/tree/master/JPS_Ontology/KBTemplates/ABox

Installation

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

Virtual environment setup

It is highly recommended to use a virtual environment for the entityrdfizer installation. The virtual environment can be created as follows:

(Windows)

$ python -m venv entityrdfizer_venv
$ entityrdfizer_venv\Scripts\activate.bat
(entityrdfizer_venv) $

(Linux)

$ python3 -m venv entityrdfizer_venv
$ source entityrdfizer_venv\bin\activate
(entityrdfizer_venv) $

The above commands will create and activate the virtual environment entityrdfizer_venv in the current directory.

Installation via pip

To install the entityrdfizer simply run the following command:

(entityrdfizer_venv) $ pip install entityrdfizer

Installation from the version-controlled source (for developers)

This type of installation is only for the developers. To install entityrdfizer directly from its repository you need to first clone the TheWorldAvatar project. Then simply navigate to the TheWorldAvatar\EntityRDFizer directory and execute the following commands:

# build and install
(entityrdfizer_venv) $ pip install .

# or build for in-place development
(entityrdfizer_venv) $ pip install -e .

Alternatively, use the provided install_rdfizer.sh convenience script, that can create virtual environment and install the entityrdfizer in one go:

# create the environment and install the project
$ install_rdfizer.sh -v -i
# create the environment and install the project for in-place development
$ install_rdfizer.sh -v -i -e

Note that installing the project for in-place development (setting the -e flag) also installs the required python packages for development and testing. To test the code, simply run the following commands:

(entityrdfizer_venv) $ pytest
# or
(entityrdfizer_venv) $ pytest tests

How to use

Usage:
    csv2rdf <csvFileOrDirPath> --csvType=<type> [--outDir=<dir>]

Options:
--csvType=<type>  Type of the csv file.
                  Choose between abox/tbox   [default: abox]
--outDir=<dir>    Output directory path

Authors

Feroz Farazi (msff2@cam.ac.uk), 17 May 2021

GitHub Stars

20

LAST COMMIT

5mos ago

MAINTAINERS

1

CONTRIBUTORS

103

OPEN ISSUES

32

OPEN PRs

6
VersionTagPublished
1.0.6
4mos ago
1.0.5
5mos ago
1.0.4
10mos ago
1.0.3
10mos ago
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