Skip to main content

A SHACL validator capable of planning the traversal and execution of the validation of a shape schema to detect violations early.

Project description

Tests Latest Release Docker Image License: GPL v3

Python Versions Package Format Package Status Package Version

Publication Data Experiment Scripts

Logo

We present Trav-SHACL, a SHACL engine capable of planning the traversal and execution of a shape schema in a way that invalid entities are detected early and needless validations are minimized. Trav-SHACL reorders the shapes in a shape schema for efficient validation and rewrites target and constraint queries for fast detection of invalid entities. The shape schema is validated against an RDF graph accessible via a SPARQL endpoint.

Trav-SHACL Architecture Fig. 1: The Trav-SHACL Architecture (from [1])

Fig. 1 shows the architecture of Trav-SHACL. Trav-SHACL receives a SHACL shape schema S and an RDF graph G. The output of Trav-SHACL are the entities of G that satisfy the shapes in S. The inter-shape planner uses graph metrics computed over the dependency graph of the shape schema. It orders the shapes in S in a way that invalid entities are identified as soon as possible. The intra-shape planner and execution optimizes the target and constraint queries at the time the shape schema is traversed. So-far (in)validated entities are considered to filter out entities linked to these entities; query rewriting decisions (e.g., pushing filters, partitioning of non-selective queries, and query reordering) are made based on invalid entities' cardinalities and query selectivity. The rewritten queries are executed against SPARQL endpoints. The answers of the target and constraint queries as well as the truth value assignments are exchanged during query rewriting and interleaved execution. They are utilized — in a bottom-up fashion — for constraint rule grounding and saturation. The intra-shape planner and execution component runs until a fixed-point in the truth value assignments is reached.

If you want to know more, check out the documentation. The documentation also lists the current features and limitations.

How to run Trav-SHACL?

You can use Trav-SHACL as a Python3 library or a Web-based service using Docker. The documentation includes detailed examples for both scenarios.

WWW 2021 Evaluation

Trav-SHACL is presented in [1]. If you want to reproduce the results reported in our WWW '21 paper, checkout the eval-www2021 branch.

License

Trav-SHACL is licensed under GPL-3.0.

Publications

  1. Mónica Figuera, Philipp D. Rohde, Maria-Esther Vidal. Trav-SHACL: Efficiently Validating Networks of SHACL Constraints. In Proceedings of the Web Conference 2021 (WWW '21), April 19-23, 2021, Ljubljana, Slovenia. https://doi.org/10.1145/3442381.3449877, Experiment Scripts, Preprint

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

travshacl-1.9.0.tar.gz (48.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

travshacl-1.9.0-py3-none-any.whl (54.3 kB view details)

Uploaded Python 3

File details

Details for the file travshacl-1.9.0.tar.gz.

File metadata

  • Download URL: travshacl-1.9.0.tar.gz
  • Upload date:
  • Size: 48.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for travshacl-1.9.0.tar.gz
Algorithm Hash digest
SHA256 4f7d59b95621f24ea9de2ccbfb410e5bef851d3c632f42b222c0df3022d7b219
MD5 44543cffdd23c48f87b4d40bff8ecc72
BLAKE2b-256 937537f43a427d11b59c804228b2e91d6da3d714bbc2c7bb9b28a9f57f52e992

See more details on using hashes here.

File details

Details for the file travshacl-1.9.0-py3-none-any.whl.

File metadata

  • Download URL: travshacl-1.9.0-py3-none-any.whl
  • Upload date:
  • Size: 54.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for travshacl-1.9.0-py3-none-any.whl
Algorithm Hash digest
SHA256 f41bae8cd7875552fb9bbd2c25a5eca3eb6e55a7798f4c20df6773704bdff216
MD5 a8647a0444635a567b8413d9631560a3
BLAKE2b-256 ae8d46aefa7a96163978a027d122e24516cefdd1e2fbc72a6235ca42b2872f58

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page