Large Language Models, Knowledge Graphs and Search Engines: A Crossroads for 
Answering Users' Questions

Hogan, Aidan; Dong, Xin Luna; Vrandečić, Denny; Weikum, Gerhard

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Large Language Models, Knowledge Graphs and Search Engines: A Crossroads for Answering Users' Questions

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Weikum, Gerhard
Databases and Information Systems, MPI for Informatics, Max Planck Society;

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Citation

Hogan, A., Dong, X. L., Vrandečić, D., & Weikum, G. (2025). Large Language Models, Knowledge Graphs and Search Engines: A Crossroads for Answering Users' Questions. Retrieved from https://arxiv.org/abs/2501.06699.

Cite as: https://hdl.handle.net/21.11116/0000-0010-7837-A

Abstract

Much has been discussed about how Large Language Models, Knowledge Graphs and
Search Engines can be combined in a synergistic manner. A dimension largely
absent from current academic discourse is the user perspective. In particular,
there remain many open questions regarding how best to address the diverse
information needs of users, incorporating varying facets and levels of
difficulty. This paper introduces a taxonomy of user information needs, which
guides us to study the pros, cons and possible synergies of Large Language
Models, Knowledge Graphs and Search Engines. From this study, we derive a
roadmap for future research.