Papers › Sangrahaka: A Tool for Annotating and Querying Knowledge Graphs

Sangrahaka: A Tool for Annotating and Querying Knowledge Graphs

6 Jul 2021arXiv:2107.02782archive 2025-07-28

Hrishikesh Terdalkar, Arnab Bhattacharya

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.

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Knowledge GraphsNatural Language Queries

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