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

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.

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arXiv:2501.06699.pdf (Preprint), 681KB
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 Urheber:
Hogan, Aidan1, Autor
Dong, Xin Luna1, Autor
Vrandečić, Denny1, Autor
Weikum, Gerhard2, Autor           
Affiliations:
1External Organizations, ou_persistent22              
2Databases and Information Systems, MPI for Informatics, Max Planck Society, ou_24018              

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Schlagwörter: Computer Science, Artificial Intelligence, cs.AI,Computer Science, Information Retrieval, cs.IR,Computer Science, Symbolic Computation, cs.SC
 Zusammenfassung: 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.

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Sprache(n): eng - English
 Datum: 2025-01-112025
 Publikationsstatus: Online veröffentlicht
 Seiten: 14 p.
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: arXiv: 2501.06699
URI: https://arxiv.org/abs/2501.06699
BibTex Citekey: Hogan_2501.06699
 Art des Abschluß: -

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