semvec/pypi-packages huggingface dataset:
web-sand 4.3.1
UI for browsing/editing semantic descriptions
License: MIT
Requires Python: <3.14,>=3.10

<h1 align="center">SAND</h1>

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## Table of Contents

- [Introduction](#introduction)
- [Installation](#installation)

## 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](./docs/paper.pdf), [demo video](https://github.com/usc-isi-i2/sand/wiki/Demo).

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## 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](./server.sh)

## Development

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