Skip to main content

Provides functions for knowledge graph cleanup and identifier normalization.

Project description

universalizer

The KG-Hub Universalizer provides functions for knowledge graph cleanup and identifier normalization.

Installation

Install with pip:

pip install universalizer

OR

Install with Poetry.

git clone https://github.com/Knowledge-Graph-Hub/universalizer.git
cd universalizer
poetry install

Usage

With KGX format node and edge files in the same directory:

universalizer run path/to/directory

Or, if they're in a single tar.gz file:

universalizer run -c graph.tar.gz

ID and category mapping

SSSOM-format maps are supported. Use a single map file:

univeralizer run -m poro-mp-exact-1.0.sssom.tsv path/to/directory

or a whole directory of them:

univeralizer run -m path/to/mapfiles path/to/directory

To map node categories as well as identifiers, use the -u flag:

univeralizer run -m path/to/mapfiles path/to/directory -u

For SSSOM maps from subject_id to object_id, subject node IDs will be remapped to object IDs.

If the object_category value is specified the node's category ID will be remapped as well.

Note that this will complete node normalization and ID remapping.

Maps should use the normalized form (e.g., specify "FBbt:00005201", not "FBBT:00005201", even if the latter form is in the input graph.)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

universalizer-0.0.2.tar.gz (9.0 kB view details)

Uploaded Source

Built Distribution

universalizer-0.0.2-py3-none-any.whl (10.4 kB view details)

Uploaded Python 3

File details

Details for the file universalizer-0.0.2.tar.gz.

File metadata

  • Download URL: universalizer-0.0.2.tar.gz
  • Upload date:
  • Size: 9.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.13 CPython/3.9.5 Linux/5.10.102.1-microsoft-standard-WSL2

File hashes

Hashes for universalizer-0.0.2.tar.gz
Algorithm Hash digest
SHA256 5102645a332ef8116ca84a1fea7b065df573187adabd55e7283ec5cd42a63c29
MD5 640318c6f6dbdfacae8236b7ee892409
BLAKE2b-256 ce2a38fab91346b846a2194406545132bc637b9906ee3d342f17777e4276d89b

See more details on using hashes here.

Provenance

File details

Details for the file universalizer-0.0.2-py3-none-any.whl.

File metadata

  • Download URL: universalizer-0.0.2-py3-none-any.whl
  • Upload date:
  • Size: 10.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.13 CPython/3.9.5 Linux/5.10.102.1-microsoft-standard-WSL2

File hashes

Hashes for universalizer-0.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 de2ac085d62ee027154c93680a1f7e3391de54b90dd2de57bb90dec0b403cc65
MD5 45cf74b030cf75cbd94cd4e3264ca7a9
BLAKE2b-256 7ee2ee32ca34bab4f5c6c7697b5916ef5e40e2f6c0d48cc466a113c6bc143021

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page