Sören Auer
YOU?
Author Swipe
View article: A Neuro-Symbolic Approach for Purchaser-Centric, Concurrent, and Strategic Supplier Negotiations
A Neuro-Symbolic Approach for Purchaser-Centric, Concurrent, and Strategic Supplier Negotiations Open
View article: Preface for LLMs4OL 2025: The 2nd Large Language Models for Ontology Learning Challenge at the 24th ISWC
Preface for LLMs4OL 2025: The 2nd Large Language Models for Ontology Learning Challenge at the 24th ISWC Open
We are pleased to present the proceedings of the ``The 2nd Large Language Models for Ontology Learning Challenge (LLMs4OL 2025), held at the 24th International Semantic Web Conference (ISWC 2025), Nara, Japan. This challenge represents a s…
View article: LLMs4OL 2025 Overview: The 2nd Large Language Models for Ontology Learning Challenge
LLMs4OL 2025 Overview: The 2nd Large Language Models for Ontology Learning Challenge Open
We present the results of the 2nd LLMs4OL 2025 Challenge, a shared task designed to evaluate the effectiveness of large language models (LLMs) for ontology learning. The challenge attracted a diverse set of participants who leveraged a bro…
View article: AIssistant: An Agentic Approach for Human--AI Collaborative Scientific Work on Reviews and Perspectives in Machine Learning
AIssistant: An Agentic Approach for Human--AI Collaborative Scientific Work on Reviews and Perspectives in Machine Learning Open
Advances in AI-assisted research have introduced powerful tools for literature retrieval, hypothesis generation, experimentation, and manuscript preparation. However, systems remain fragmented and lack human-centred workflows. To address t…
View article: Towards Agentic AI – Neuro-Symbolic Organization of Research Contributions with Knowledge Graphs and Large Language Models
Towards Agentic AI – Neuro-Symbolic Organization of Research Contributions with Knowledge Graphs and Large Language Models Open
In recent developments of AI, we see an increasing augmentation of neural models with unstructured data (RAG), structured data (Graph RAG) and even agents, reasoning services and APIs (Agentic AI). In the evolving landscape of scientific k…
View article: A Hybrid, Neuro-symbolic Approach for Scholarly Knowledge Organization
A Hybrid, Neuro-symbolic Approach for Scholarly Knowledge Organization Open
View article: Managing Comprehensive Research Instrument Descriptions within a Scholarly Knowledge Graph
Managing Comprehensive Research Instrument Descriptions within a Scholarly Knowledge Graph Open
In research, measuring instruments play a crucial role in producing the data that underpin scientific discoveries. Information about instruments is essential in data interpretation and, thus, knowledge production. However, if at all availa…
View article: Fair Access to Food Data in Africa: An Approach Based on Retrieval-Augmented Generation
Fair Access to Food Data in Africa: An Approach Based on Retrieval-Augmented Generation Open
View article: ExtracTable: Human-in-the-Loop Transformation of Scientific Corpora into Structured Knowledge
ExtracTable: Human-in-the-Loop Transformation of Scientific Corpora into Structured Knowledge Open
As the volume of scientific literature grows, efficient knowledge organization becomes increasingly challenging. Traditional approaches to structuring scientific content are time-consuming and require significant domain expertise, highligh…
View article: EmoNet-Face: An Expert-Annotated Benchmark for Synthetic Emotion Recognition
EmoNet-Face: An Expert-Annotated Benchmark for Synthetic Emotion Recognition Open
Effective human-AI interaction relies on AI's ability to accurately perceive and interpret human emotions. Current benchmarks for vision and vision-language models are severely limited, offering a narrow emotional spectrum that overlooks n…
View article: Knowledge-Based Aerospace Engineering -- A Systematic Literature Review
Knowledge-Based Aerospace Engineering -- A Systematic Literature Review Open
The aerospace industry operates at the frontier of technological innovation while maintaining high standards regarding safety and reliability. In this environment, with an enormous potential for re-use and adaptation of existing solutions …
View article: Better models, better treatment? a systematic review of current three dimensional (3D) in vitro models for implant-associated infections
Better models, better treatment? a systematic review of current three dimensional (3D) in vitro models for implant-associated infections Open
Introduction Understanding the biology of implant-associated infections is essential in order to provide adequate detection, prevention and therapeutic strategies. Advanced 3D in vitro models offer valuable insights into the complex intera…
View article: OntoAligner: A Comprehensive Modular and Robust Python Toolkit for Ontology Alignment
OntoAligner: A Comprehensive Modular and Robust Python Toolkit for Ontology Alignment Open
Ontology Alignment (OA) is fundamental for achieving semantic interoperability across diverse knowledge systems. We present OntoAligner, a comprehensive, modular, and robust Python toolkit for ontology alignment, designed to address curren…
View article: Project Alexandria: Towards Freeing Scientific Knowledge from Copyright Burdens via LLMs
Project Alexandria: Towards Freeing Scientific Knowledge from Copyright Burdens via LLMs Open
Paywalls, licenses and copyright rules often restrict the broad dissemination and reuse of scientific knowledge. We take the position that it is both legally and technically feasible to extract the scientific knowledge in scholarly texts. …
View article: SelfCheckAgent: Zero-Resource Hallucination Detection in Generative Large Language Models
SelfCheckAgent: Zero-Resource Hallucination Detection in Generative Large Language Models Open
Detecting hallucinations in Large Language Models (LLMs) remains a critical challenge for their reliable deployment in real-world applications. To address this, we introduce SelfCheckAgent, a novel framework integrating three different age…
View article: Normalization-Driven Optimization of Knowledge Graph Creation for Semantically Grounded Information Fusion
Normalization-Driven Optimization of Knowledge Graph Creation for Semantically Grounded Information Fusion Open
View article: LLMs4OM: Matching Ontologies with Large Language Models
LLMs4OM: Matching Ontologies with Large Language Models Open
View article: The Semantic SI Ontology: Engineering, Alignment, and Validation of a Semantic SI Model
The Semantic SI Ontology: Engineering, Alignment, and Validation of a Semantic SI Model Open
View article: Enhancing interoperability in digital calibration data exchange: A case for ontology development
Enhancing interoperability in digital calibration data exchange: A case for ontology development Open
View article: LLMs4Synthesis: Leveraging Large Language Models for Scientific Synthesis
LLMs4Synthesis: Leveraging Large Language Models for Scientific Synthesis Open
View article: Leveraging LLMs for Scientific Abstract Summarization: Unearthing the Essence of Research in a Single Sentence
Leveraging LLMs for Scientific Abstract Summarization: Unearthing the Essence of Research in a Single Sentence Open
View article: ORKG ASK: a Neuro-symbolic Scholarly Search and Exploration System
ORKG ASK: a Neuro-symbolic Scholarly Search and Exploration System Open
Purpose: Finding scholarly articles is a time-consuming and cumbersome activity, yet crucial for conducting science. Due to the growing number of scholarly articles, new scholarly search systems are needed to effectively assist researchers…
View article: MC-NEST: Enhancing Mathematical Reasoning in Large Language Models leveraging a Monte Carlo Self-Refine Tree
MC-NEST: Enhancing Mathematical Reasoning in Large Language Models leveraging a Monte Carlo Self-Refine Tree Open
Mathematical reasoning presents significant challenges for large language models (LLMs). To enhance their capabilities, we propose Monte Carlo Self-Refine Tree (MC-NEST), an extension of Monte Carlo Tree Search that integrates LLM-based se…
View article: NeuroSym-BioCAT: Leveraging Neuro-Symbolic Methods for Biomedical Scholarly Document Categorization and Question Answering
NeuroSym-BioCAT: Leveraging Neuro-Symbolic Methods for Biomedical Scholarly Document Categorization and Question Answering Open
The growing volume of biomedical scholarly document abstracts presents an increasing challenge in efficiently retrieving accurate and relevant information. To address this, we introduce a novel approach that integrates an optimized topic m…
View article: A Neuro-symbolic Approach for Faceted Search in Digital Libraries
A Neuro-symbolic Approach for Faceted Search in Digital Libraries Open
Academic Search Engines (ASEs) are crucial for navigating the vast landscape of scholarly literature. Traditionally, these engines rely on keyword-based search, supplemented by predefined facets encompassing metadata such as research field…
View article: LLMs4OL 2024 Overview: The 1st Large Language Models for Ontology Learning Challenge
LLMs4OL 2024 Overview: The 1st Large Language Models for Ontology Learning Challenge Open
This paper outlines the LLMs4OL 2024, the first edition of the Large Language Models for Ontology Learning Challenge. LLMs4OL is a community development initiative collocated with the 23rd International Semantic Web Conference (ISWC) to ex…
View article: LLMs4OL 2024 Datasets: Toward Ontology Learning with Large Language Models
LLMs4OL 2024 Datasets: Toward Ontology Learning with Large Language Models Open
Ontology learning (OL) from unstructured data has evolved significantly, with recent advancements integrating large language models (LLMs) to enhance various aspects of the process. The paper introduces the LLMs4OL 2024 datasets, developed…
View article: Preface for LLMs4OL 2024: The 1st Large Language Models for Ontology Learning Challenge at the 23rd ISWC
Preface for LLMs4OL 2024: The 1st Large Language Models for Ontology Learning Challenge at the 23rd ISWC Open
We are pleased to present the proceedings of the “1st Large Language Models for Ontology Learning Challenge (LLMs4OL 2024)”, held at the 23rd International Semantic Web Conference (ISWC). This challenge marks a significant a dvancement in …
View article: DataDesc: A framework for creating and sharing technical metadata for research software interfaces
DataDesc: A framework for creating and sharing technical metadata for research software interfaces Open
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 study findings. The analysis of open-source code aids in the co…
View article: LLMs4Synthesis: Leveraging Large Language Models for Scientific Synthesis
LLMs4Synthesis: Leveraging Large Language Models for Scientific Synthesis Open
In response to the growing complexity and volume of scientific literature, this paper introduces the LLMs4Synthesis framework, designed to enhance the capabilities of Large Language Models (LLMs) in generating high-quality scientific synth…