Year: 2025
Type: conference-paper
Abstract: Conversational Bibliographic Search is a conversational search engine designed to support users in retrieving scientific papers and authors within the domain of computer science. It enables natural language-based searches for data within the dblp computer science bibliography, which is enriched with data from Semantic Scholar. The system presents a novel user interface and bridges the gap between keyword-based search engines, faceted search systems, and generative conversational approaches. It enables users to access the latest publications, formulate intricate queries, as often required in scholarly research, and engage in multi-turn conversations to discover the most relevant results. Users can iteratively refine their queries and ask follow-up questions. Conversational Bibliographic Search actively supports the search process by posing clarification questions and providing suggestions.
Authors: Markus Nilles, Ralf Schenkel
Institution: Universität Trier
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4412377006