Library to process dumps of knowledge graphs (Wikipedia, DBpedia, Wikidata)

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  • Author: Binh Vu
  • Tags knowledge-graph , wikidata , wikipedia , dbpedia
  • Requires: Python >=3.10
  • Provides-Extra: dev , spark , ray , all
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Project description

kgdata PyPI Documentation

KGData is a library to process dumps of Wikipedia, Wikidata. What it can do:

  • Clean up the dumps to ensure the data is consistent (resolve redirect, remove dangling references)
  • Create embedded key-value databases to access entities from the dumps.
  • Extract Wikidata ontology.
  • Extract Wikipedia tables and convert the hyperlinks to Wikidata entities.
  • Create Pyserini indices to search Wikidata’s entities.
  • and more

For a full documentation, please see the website.

Installation

From PyPI (using pre-built binaries):

pip install kgdata[spark]   # omit spark to manually specify its version if your cluster has different version

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Avatar for binh from gravatar.com binh Avatar for p8i1D7nLMX6y from gravatar.com p8i1D7nLMX6y

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Project links
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  • Author: Binh Vu
  • Tags knowledge-graph , wikidata , wikipedia , dbpedia
  • Requires: Python >=3.10
  • Provides-Extra: dev , spark , ray , all
Classifiers

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7.0.12

7.0.11

7.0.10

7.0.9

This version

7.0.8

7.0.7

7.0.6

7.0.4

7.0.2

7.0.1

7.0.0

6.5.2

6.5.1

6.5.0

6.4.1

6.3.1

6.3.0

6.2.1

6.2.0

6.1.0

6.0.1

6.0.0

5.6.1

5.6.0

5.5.1

5.4.0

5.3.6

5.3.5

5.3.4

5.3.3

5.3.2

5.3.0

5.2.1

5.1.1

5.1.0

5.0.0

5.0.0a9 pre-release

5.0.0a8 pre-release

5.0.0a7 pre-release

5.0.0a6 pre-release

4.1.2

4.1.1

4.1.0

4.0.6

4.0.3

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4.0.1

3.9.2

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3.0.3

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2.3.3

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2.2.0

2.1.0

2.0.6

2.0.0a0 pre-release

1.7.3

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1.7.0

1.6.3

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1.6.0

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