Skip to main content

A SPARQL rewriter that performs enhanced searches

Project description

FIZzysearch

A SPARQL rewriter that performs enhanced searches

This is an extension of the work that was started at the 2023 HackaLOD event in Gouda. The package provides a SPARQL rewriting framework which can be used to implement different enhanced search facilities like full-text searches or embeddings based searches. The re-writing can be used as a "front-end" to existing SPARQL endpoints, or integrated as a software library. One of the benefits are enabling easier searches for existing triplestores in which it might be cumbersome to install or configure enhanced search facilities.

✨ This library gives you "fizzy" searches! ✨

(and it was made by the FIZ ISE group)

Example

See the test file for some examples on how to build an index and run some test queries.

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

fizzysearch-0.17.tar.gz (6.8 kB view details)

Uploaded Source

Built Distribution

fizzysearch-0.17-py3-none-any.whl (8.3 kB view details)

Uploaded Python 3

File details

Details for the file fizzysearch-0.17.tar.gz.

File metadata

  • Download URL: fizzysearch-0.17.tar.gz
  • Upload date:
  • Size: 6.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.3 CPython/3.11.9 Darwin/23.6.0

File hashes

Hashes for fizzysearch-0.17.tar.gz
Algorithm Hash digest
SHA256 19ba7c91ef7b8b0db560702825b79ff8b1a23099fa61fb3b648c47c3defe44a2
MD5 fc0b497e57e3eff2d15dc6e18bd8420b
BLAKE2b-256 08de41e68c318e79ec0fe5432eb030f4fdaccf1611f005bb3f93bcd1aca38419

See more details on using hashes here.

File details

Details for the file fizzysearch-0.17-py3-none-any.whl.

File metadata

  • Download URL: fizzysearch-0.17-py3-none-any.whl
  • Upload date:
  • Size: 8.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.3 CPython/3.11.9 Darwin/23.6.0

File hashes

Hashes for fizzysearch-0.17-py3-none-any.whl
Algorithm Hash digest
SHA256 97ceeb36651ccb782b7bcbd759c523016156b1883868561e560e010f815b4203
MD5 e41f21b0582413bfc759d422387698b6
BLAKE2b-256 4baaf9defbe6a604c291f7bb1a6d3494e9f3d0504236ded61a1b9942e31d5197

See more details on using hashes here.

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