In this work, we present a web-based annotation and querying tool Sangrahaka. It annotates entities and relationships from text corpora and constructs a knowledge graph (KG). The KG is queried using templatized natural language queries. The application is language and corpus agnostic, but can be tuned for special needs of a specific language or a corpus. A customized version of the framework has been used in two annotation tasks. The application is available for download and installation. Besides having a user-friendly interface, it is fast, supports customization, and is fault tolerant on both client and server side. The code is available at https://github.com/hrishikeshrt/sangrahaka and the presentation with a demo is available at https://youtu.be/nw9GFLVZMMo.
@article{arxiv.2107.02782,
title = {Sangrahaka: A Tool for Annotating and Querying Knowledge Graphs},
author = {Hrishikesh Terdalkar and Arnab Bhattacharya},
journal= {arXiv preprint arXiv:2107.02782},
year = {2023}
}