30 citations · 75 across the 17 of their papers we have counts for
6 papers · 1 filter
Towards AI-Supported Research: a Vision of the TIB AIssistant
Sören Auer, Allard Oelen, Mohamad Yaser Jaradeh +9
The rapid advancements in Generative AI and Large Language Models promise to transform the way research is conducted, potentially offering unprecedented opportunities to augment sc…
TIB AIssistant: a Platform for AI-Supported Research Across Research Life Cycles
Allard Oelen, Sören Auer
The rapidly growing popularity of adopting Artificial Intelligence (AI), and specifically Large Language Models (LLMs), is having a widespread impact throughout society, including…
Introducing ORKG ASK: an AI-driven Scholarly Literature Search and Exploration System Taking a Neuro-Symbolic Approach
Allard Oelen, Mohamad Yaser Jaradeh, Sören Auer
As the volume of published scholarly literature continues to grow, finding relevant literature becomes increasingly difficult. With the rise of generative Artificial Intelligence (…
Charting the Future of Scholarly Knowledge with AI: A Community Perspective
Azanzi Jiomekong, Hande Küçük McGinty, Keith G. Mills +13
Despite the growing availability of tools designed to support scholarly knowledge extraction and organization, many researchers still rely on manual methods, sometimes due to unfam…
Research Knowledge Graphs in NFDI4DataScience: Key Activities, Achievements, and Future Directions
Kanishka Silva, Marcel R. Ackermann, Heike Fliegl +10
As research in Artificial Intelligence and Data Science continues to grow in volume and complexity, it becomes increasingly difficult to ensure transparency, reproducibility, and d…
Leveraging Large Language Models for Realizing Truly Intelligent User Interfaces
Allard Oelen, Sören Auer
The number of published scholarly articles is growing at a significant rate, making scholarly knowledge organization increasingly important. Various approaches have been proposed t…