Skip to main content

Indexing DBpedia with Elasticsearch.

Project description

Elasticpedia

pypi build Documentation Status DOI

Indexing DBpedia with Elasticsearch.

Features

  • Create an ElasticSearch index with DBpedia entities.

  • Redirected entities can be filtered out by providing them separately.

  • Current version supports only .ttl files.

Credits

If you use this package for your research work, please cite:

Cutrona, Vincenzo. (2020, April 21). Elasticpedia v1.0.1 (Version v1.0.1). Zenodo. DOI

This package was derived from the DBpedia indexer provided by the DBpedia Lookup project.

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.

History

1.0.1 (2020-04-21)

  • [BUG-FIX] Update regex for triples parsing (handle escaped chars in Literals).

1.0.0 (2020-03-30)

  • Add support for .ttl file without prefixes only.

  • Writing to ES using native ES-Spark library.

  • Params can be read from env vars.

  • Redirect files are optional.

  • Update docs and make code citable.

0.1.0 (2020-01-14)

  • First release on PyPI.

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

elasticpedia-1.0.1.tar.gz (14.2 kB view hashes)

Uploaded Source

Built Distribution

elasticpedia-1.0.1-py2.py3-none-any.whl (9.5 kB view hashes)

Uploaded Python 2 Python 3

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