Using Knowledge Graphs and Large Language Models in Data Discovery
Dokumenttyp:
Konferenzbeitrag
Autor(en):
Gan, Lisa-Yao; Walker, Johanna; Das, Arunav; Simperl, Elena; Diepold, Klaus
Abstract:
We present OpenDORA, a conversational assistant for dataset discovery in open data portals. OpenDORA allows users to ask dataset questions in natural language, without needing to match specific keywords to find dataset. If finds relevant datasets even when metadata lacks exact matches, broadening discovery. It provides clear explanations to help users judge dataset relevance and usability
Stichworte:
Data discovery, Conversational dataset retrieval, Conversational dataset search
Kongress / Zusatzinformationen:
IAS TUM General Assembly 2025 ; Conference date: 20-05-2025