@online{Hogan_2501.06699,
TITLE = {Large Language Models, Knowledge Graphs and Search Engines: A Crossroads for Answering Users' Questions},
AUTHOR = {Hogan, Aidan and Dong, Xin Luna and Vrande{\v c}i{\'c}, Denny and Weikum, Gerhard},
LANGUAGE = {eng},
URL = {https://arxiv.org/abs/2501.06699},
EPRINT = {2501.06699},
EPRINTTYPE = {arXiv},
YEAR = {2025},
MARGINALMARK = {$\bullet$},
ABSTRACT = {Much has been discussed about how Large Language Models, Knowledge Graphs and<br>Search Engines can be combined in a synergistic manner. A dimension largely<br>absent from current academic discourse is the user perspective. In particular,<br>there remain many open questions regarding how best to address the diverse<br>information needs of users, incorporating varying facets and levels of<br>difficulty. This paper introduces a taxonomy of user information needs, which<br>guides us to study the pros, cons and possible synergies of Large Language<br>Models, Knowledge Graphs and Search Engines. From this study, we derive a<br>roadmap for future research.<br>},
}