NLQxform-UI: A Natural Language Interface for Querying DBLP Interactively
CoRR(2024)
摘要
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.
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