NLQxform-UI: A Natural Language Interface for Querying DBLP Interactively
Abstract
In recent years, the DBLP computer science bibliography has been prominently used for searching scholarly information, such as publications, scholars, and venues. However, its current search service lacks the capability to handle complex queries, which limits the usability of DBLP. In this paper, we present NLQxform-UI, a web-based natural language interface that enables users to query DBLP directly with complex natural language questions. NLQxform-UI automatically translates given questions into SPARQL queries and executes the queries over the DBLP knowledge graph to retrieve answers. The querying process is presented to users in an interactive manner, which improves the transparency of the system and helps examine the returned answers. Also, intermediate results in the querying process can be previewed and manually altered to improve the accuracy of the system. NLQxform-UI has been completely open-sourced: https://github.com/ruijie-wang-uzh/NLQxform-UI.
Cite
@article{arxiv.2403.08475,
title = {NLQxform-UI: A Natural Language Interface for Querying DBLP Interactively},
author = {Ruijie Wang and Zhiruo Zhang and Luca Rossetto and Florian Ruosch and Abraham Bernstein},
journal= {arXiv preprint arXiv:2403.08475},
year = {2024}
}