ESEC/FSE 2021 (series) / Demonstrations /
Sangrahaka: A Tool for Annotating and Querying Knowledge Graphs
Fri 27 Aug 2021 11:20 - 11:25 - Architectures & Design—Model-Driven Software Engineering Chair(s): Luciano Baresi, Davide Di Ruscio
Fri 27 Aug 2021 23:20 - 23:25 - Architectures & Design—Model-Driven Software Engineering Chair(s): Davide Di Ruscio
Fri 27 Aug 2021 23:20 - 23:25 - Architectures & Design—Model-Driven Software Engineering Chair(s): Davide Di Ruscio
We present a web-based tool Sangrahaka for annotating entities and relationships from text corpora towards construction of a knowledge graph and subsequent querying using templatized natural language questions. The application is language and corpus agnostic, but can be tuned for specific needs of a language or a corpus. The application is freely 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. It outperforms other annotation tools in an objective evaluation metric. The framework has been successfully used in two annotation tasks. The code is available from \url{https://github.com/hrishikeshrt/sangrahaka}.
Fri 27 AugDisplayed time zone: Athens change
Fri 27 Aug
Displayed time zone: Athens change