https://github.com/opencitations/oc_ocdm

Object mapping library for manipulating RDF graphs that are compliant with the OpenCitations datamodel.
https://github.com/opencitations/oc_ocdm

graphs object-mapping rdf sparql

Last synced: about 1 month ago
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Object mapping library for manipulating RDF graphs that are compliant with the OpenCitations datamodel.

• Host: GitHub
• URL: https://github.com/opencitations/oc_ocdm
• Owner: opencitations
• License: other
• Created: 2020-12-17T14:56:50.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2026-06-09T09:50:20.000Z (about 2 months ago)
• Last Synced: 2026-06-09T11:22:15.976Z (about 2 months ago)
• Topics: graphs, object-mapping, rdf, sparql
• Language: Python
• Homepage: https://opencitations.github.io/oc_ocdm/
• Size: 135 MB
• Stars: 6
• Watchers: 4
• Forks: 2
• Open Issues: 20
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG.md
  • License: LICENSE.md
  • Citation: CITATION.cff

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README

          


# oc_ocdm

[](http://opencitations.net)

[![Run tests](https://github.com/opencitations/oc_ocdm/actions/workflows/run_tests.yml/badge.svg)](https://github.com/opencitations/oc_ocdm/actions/workflows/run_tests.yml)

[![Coverage](https://opencitations.github.io/oc_ocdm/coverage/coverage-badge.svg)](https://opencitations.github.io/oc_ocdm/coverage/)

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[![DOI](https://zenodo.org/badge/322327342.svg)](https://zenodo.org/badge/latestdoi/322327342)

Python library for creating, manipulating, and exporting RDF data compliant with the [OpenCitations Data Model](https://figshare.com/articles/Metadata_for_the_OpenCitations_Corpus/3443876). It handles OCDM entities (bibliographic resources, agents, identifiers, etc.) without requiring direct knowledge of RDF or SPARQL.

## Quick start

```bash

pip install oc_ocdm

```

```python

from oc_ocdm.graph import GraphSet

from oc_ocdm import Storer

g_set = GraphSet("https://w3id.org/oc/meta/")

br = g_set.add_br("https://w3id.org/oc/meta/prov/pa/1")

br.has_title("OpenCitations Meta")

br.create_journal_article()

doi = g_set.add_id("https://w3id.org/oc/meta/prov/pa/1")

doi.create_doi("10.1162/qss_a_00292")

br.has_identifier(doi)

storer = Storer(g_set)

storer.store_graphs_in_file("output.jsonld")

```

For guides, API reference, and examples, see the [documentation](https://opencitations.github.io/oc_ocdm/).