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-0.22.tar.gz (6.8 kB view details)

Uploaded Source

Built Distribution

fizzysearch-0.22-py3-none-any.whl (8.4 kB view details)

Uploaded Python 3

File details

Details for the file fizzysearch-0.22.tar.gz.

File metadata

  • Download URL: fizzysearch-0.22.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-0.22.tar.gz
Algorithm Hash digest
SHA256 6012ea2269f3c5b5d99928721cb1ed1bacdaa32a042071c98ee576da7b7a0c73
MD5 562a460deb000aa380de1c3e968fb521
BLAKE2b-256 76d834253ad2cad28c6723ab78403ba856d6860077655b33670fedbd9b284021

See more details on using hashes here.

File details

Details for the file fizzysearch-0.22-py3-none-any.whl.

File metadata

  • Download URL: fizzysearch-0.22-py3-none-any.whl
  • Upload date:
  • Size: 8.4 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-0.22-py3-none-any.whl
Algorithm Hash digest
SHA256 bf2e7061ab34e7300f24d1e05c50c6f69a7d3099ef5ba037e8c7ceaca1d4fb34
MD5 165ea1ce26cdc229c9688e3881c6d7b6
BLAKE2b-256 e2db3255fd07ccee6a89ebebad9c0919c147b71d7d3e220179879c1ccee969ca

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