Skip to main content

UI for browsing/editing semantic descriptions

Project description

SAND

PyPI Python GitHub Issues Contributions welcome License

Table of Contents

Introduction

SAND is an application to annotate semantic descriptions of tables and (optionally) linked records in tables to a target knowledge graph, then it can automatically export the table data to RDF, JSON-LD, etc. It also does basic data cleaning automatically based on the annotated semantic descriptions. SAND is designed to be customizable: you can plug in a new semantic modeling algorithm (which generates a semantic description automatically) or different knowledge graphs as long as you have a suitable plugin implemented SAND's plugin interface.

Moreover, SAND offers an internal KG browsing and table filtering so you can interactively browsing and modeling your tables.

For a demo, please see: our demo paper, demo video.

Installation

Install from pip: pip install -U web-sand

Usage

  1. Initialize database: sand init -d <dbfile>. For example: sand init -d ./data/sand.db
  2. Start the webserver: sand start -d <dbfile> --externaldb <folder_of_ent_and_ont_db>
  3. Open the URL: http://localhost:5524

For example, checkout server.sh

Development

  1. cd to www
  2. Install yarn and yalc
  3. Install dependencies: yarn install
  4. Start development server: yarn start. Then, access development server at: http://127.0.0.1:3000.
  5. Build production files: yarn build
  6. Build library files and publish to private index (only if you are released sand as a library): yarn build:lib && yalc public --private

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

web_sand-2.1.15.tar.gz (5.4 MB view details)

Uploaded Source

Built Distribution

web_sand-2.1.15-py3-none-any.whl (5.5 MB view details)

Uploaded Python 3

File details

Details for the file web_sand-2.1.15.tar.gz.

File metadata

  • Download URL: web_sand-2.1.15.tar.gz
  • Upload date:
  • Size: 5.4 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.17

File hashes

Hashes for web_sand-2.1.15.tar.gz
Algorithm Hash digest
SHA256 9ce3cc20405641ff414481d774a37a08557f5c28271f7a18d26c902ec601a3f4
MD5 2a83b81119be1284bb201fb45203cdda
BLAKE2b-256 c9609e6667bd906e9f93b1446d046f033f803f7de5ba9a64cde0e3a2d712cd2d

See more details on using hashes here.

File details

Details for the file web_sand-2.1.15-py3-none-any.whl.

File metadata

  • Download URL: web_sand-2.1.15-py3-none-any.whl
  • Upload date:
  • Size: 5.5 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.17

File hashes

Hashes for web_sand-2.1.15-py3-none-any.whl
Algorithm Hash digest
SHA256 72691bb3f1e897a934a767edfb1f37aebd4ab98dd6edd012baf25e20b1c3bda4
MD5 3d12d3615b44211e8e8b7a7f7e211a8f
BLAKE2b-256 1234381d72319910fcea1c693d9fe1cf95fc06e8aed8df971539fc565383a06f

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