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

Fuente: arXiv
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Main Authors: Hogan, Aidan, Dong, Xin Luna, Vrandečić, Denny, Weikum, Gerhard
Format: Preprint
Published: 2025
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author Hogan, Aidan
Dong, Xin Luna
Vrandečić, Denny
Weikum, Gerhard
author_facet Hogan, Aidan
Dong, Xin Luna
Vrandečić, Denny
Weikum, Gerhard
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2501_06699
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Large Language Models, Knowledge Graphs and Search Engines: A Crossroads for Answering Users' Questions
Hogan, Aidan
Dong, Xin Luna
Vrandečić, Denny
Weikum, Gerhard
Artificial Intelligence
Information Retrieval
Symbolic Computation
I.2.4; I.2.7; H.3.3
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.
title Large Language Models, Knowledge Graphs and Search Engines: A Crossroads for Answering Users' Questions
topic Artificial Intelligence
Information Retrieval
Symbolic Computation
I.2.4; I.2.7; H.3.3
url https://arxiv.org/abs/2501.06699