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-4.1.1.tar.gz (38.7 kB view details)

Uploaded Source

Built Distribution

web_sand-4.1.1-py3-none-any.whl (55.8 kB view details)

Uploaded Python 3

File details

Details for the file web_sand-4.1.1.tar.gz.

File metadata

  • Download URL: web_sand-4.1.1.tar.gz
  • Upload date:
  • Size: 38.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.8.18

File hashes

Hashes for web_sand-4.1.1.tar.gz
Algorithm Hash digest
SHA256 39b577699eb1b08827141ee8b514a68b19c754cb5325604abcfd3dc65ad9855f
MD5 b3f17afdad5775b86cacbe9d8c5c8668
BLAKE2b-256 d105ab9d29393e498d3f74f689ee78206223900d8177c37715437b283b44f703

See more details on using hashes here.

File details

Details for the file web_sand-4.1.1-py3-none-any.whl.

File metadata

  • Download URL: web_sand-4.1.1-py3-none-any.whl
  • Upload date:
  • Size: 55.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.8.18

File hashes

Hashes for web_sand-4.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 9b2f67c5d4913797df191b7831eb7a42851c7bd559f1dfacfcd991b36ff9d313
MD5 659b828027f074531034c26f50820de8
BLAKE2b-256 357bc93a9d1927bece37e06cf15b33d9758b7296b36a775088b1bfb1c8fc4c42

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