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-2.1.9.tar.gz (5.4 MB view details)

Uploaded Source

Built Distribution

web_sand-2.1.9-py3-none-any.whl (5.5 MB view details)

Uploaded Python 3

File details

Details for the file web_sand-2.1.9.tar.gz.

File metadata

  • Download URL: web_sand-2.1.9.tar.gz
  • Upload date:
  • Size: 5.4 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.15

File hashes

Hashes for web_sand-2.1.9.tar.gz
Algorithm Hash digest
SHA256 e919ca31780806105b9559923141f3ef326295be3fe193b73dc822e807bc6b06
MD5 15c8a6024b984aed0d10d7af6820493c
BLAKE2b-256 1b7dbcca9127e4e0ffb6964ec772eef09e7544dc0750b6083aabb4a84b61d8e0

See more details on using hashes here.

File details

Details for the file web_sand-2.1.9-py3-none-any.whl.

File metadata

  • Download URL: web_sand-2.1.9-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/3.8.15

File hashes

Hashes for web_sand-2.1.9-py3-none-any.whl
Algorithm Hash digest
SHA256 181fdbe96f3fad043d6ca65aa76ab1ede758fbb142ca1a1c304ae181f4fb8c99
MD5 7068e67ff3b685ed3ddea8f33d121081
BLAKE2b-256 4765f2ec7d6dd180f64886b377bc0075679cab608c6d12380e67d77c9d9999c3

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