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.
Install from pip: pip install -U web-sand
- Initialize database:
sand init -d <dbfile>. For example:sand init -d ./data/sand.db - Start the webserver:
sand start -d <dbfile> --externaldb <folder_of_ent_and_ont_db> - Open the URL:
http://localhost:5524
For example, checkout server.sh
- cd to
www - Install
yarnandyalc - Install dependencies:
yarn install - Start development server:
yarn start. Then, access development server at:http://127.0.0.1:3000. - Build production files:
yarn build - Build library files and publish to private index (only if you are released
sandas a library):yarn build:lib && yalc public --private