“Large Language Models, Knowledge Graphs and Search Engines: A Crossroads for Answering Users’ Questions,” 2025. [Online]. Available: https://arxiv.org/abs/2501.06699.
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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.
BibTeX
@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>},
}Endnote
%0 Report %A Hogan, Aidan %A Dong, Xin Luna %A Vrandečić, Denny %A Weikum, Gerhard %+ External Organizations External Organizations External Organizations Databases and Information Systems, MPI for Informatics, Max Planck Society %T Large Language Models, Knowledge Graphs and Search Engines: A Crossroads for Answering Users' Questions : %G eng %U http://hdl.handle.net/21.11116/0000-0010-7837-A %U https://arxiv.org/abs/2501.06699 %D 2025 %X 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> %K Computer Science, Artificial Intelligence, cs.AI,Computer Science, Information Retrieval, cs.IR,Computer Science, Symbolic Computation, cs.SC