The sciqa scientific question answering benchmark for scholarly knowledge

S Auer, DAC Barone, C Bartz, EG Cortes… - Scientific Reports, 2023 - nature.com
Abstract Knowledge graphs have gained increasing popularity in the last decade in science
and technology. However, knowledge graphs are currently relatively simple to moderate …

Divide and conquer the EmpiRE: a community-maintainable knowledge graph of empirical research in requirements engineering

O Karras, F Wernlein, J Klünder… - 2023 ACM/IEEE …, 2023 - ieeexplore.ieee.org
[Background.] Empirical research in requirements engineering (RE) is a constantly evolving
topic, with a growing number of publications. Several papers address this topic using …

KG-EmpiRE: A Community-Maintainable Knowledge Graph for a Sustainable Literature Review on the State and Evolution of Empirical Research in Requirements …

O Karras - 2024 IEEE 32nd International Requirements …, 2024 - ieeexplore.ieee.org
In the last two decades, several researchers provided snapshots of the “current” state and
evolution of empirical research in requirements engineering (RE) through literature reviews …

Large language models for scientific information extraction: An empirical study for virology

M Shamsabadi, J D'Souza, S Auer - arxiv preprint arxiv:2401.10040, 2024 - arxiv.org
In this paper, we champion the use of structured and semantic content representation of
discourse-based scholarly communication, inspired by tools like Wikipedia infoboxes or …

Large Language Models for Scientific Question Answering: An Extensive Analysis of the SciQA Benchmark

J Lehmann, A Meloni, E Motta, F Osborne… - European Semantic …, 2024 - Springer
The SciQA benchmark for scientific question answering aims to represent a challenging task
for next-generation question-answering systems on which vanilla large language models …

Food information engineering

A Jiomekong, A Oelen, S Auer, L Anna‐Lena… - AI …, 2024 - Wiley Online Library
Food information engineering relies on statistical and AI techniques (eg, symbolic,
connectionist, and neurosymbolic AI) for collecting, storing, processing, diffusing, and putting …

SciKGTeX-a LaTeX package to semantically annotate contributions in scientific publications

C Bless, I Baimuratov, O Karras - 2023 ACM/IEEE Joint …, 2023 - ieeexplore.ieee.org
Scientific knowledge graphs have been proposed as a solution to structure the content of
research publications in a machine-actionable way and enable more efficient, computer …

An approach based on open research knowledge graph for knowledge acquisition from scientific papers

A Jiomekong, S Tiwari - The Electronic Library, 2024 - emerald.com
Purpose This paper aims to curate open research knowledge graph (ORKG) with papers
related to ontology learning and define an approach using ORKG as a computer-assisted …

SWARM-SLR-Streamlined Workflow Automation for Machine-Actionable Systematic Literature Reviews

T Wittenborg, O Karras, S Auer - … Conference on Theory and Practice of …, 2024 - Springer
Authoring survey or review articles still requires significant tedious manual effort, despite
many advancements in research knowledge management having the potential to improve …

DataDesc: A framework for creating and sharing technical metadata for research software interfaces

P Kuckertz, J Göpfert, O Karras, D Neuroth, J Schönau… - Patterns, 2024 - cell.com
The reuse of research software is central to research efficiency and academic exchange.
The application of software enables researchers to reproduce, validate, and expand upon …