Large Language Models, Knowledge Graphs and Search Engines… ein Literaturtipp
Aidan Hogan, Xin Luna Dong, Denny Vrandečić, Gerhard Weikum, arxiv.org/abs/2501.06699v1:
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.
Table 1. Pros and cons of SEs, KGs and LLMs. In: Large Language Models, Knowledge Graphs and Search Engines: A Crossroads for Answering Users’ Questions, arxiv.org/abs/2501.06699v1, CC BY 4.0, via Wikimedia Commons
Beitragsbild: Icon that symbolizes scientific data, Julian Kücklich: Open Access Icons for Open Access Office Brandenburg, CC0, via Wikimedia Commons
OpenEdition schlägt Ihnen vor, diesen Beitrag wie folgt zu zitieren:
Jens Bemme (15. Januar 2025). Large Language Models, Knowledge Graphs and Search Engines… ein Literaturtipp. SLUB Open Science Lab. Abgerufen am 11. Dezember 2025 von https://doi.org/10.58079/1339z

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