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Sangrahaka: A Tool for Annotating and Querying Knowledge Graphs

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arxiv 2107.02782 v2 pith:3AI4EWUT submitted 2021-07-06 cs.SE cs.CL

Hrishikesh Terdalkar , Arnab Bhattacharya This is my paper · ORCID
classification cs.SEcs.CL
keywords availablelanguagesangrahakaannotationapplicationcorpushttpsknowledge
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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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