Preprint RDF
pages:- Fine-tuning and Prompt Engineering with Cognitive Knowledge Graphs for Scholarly Knowledge Organization
- From Keywords to Structured Summaries: Streamlining Scholarly Information Access
- FunMap: Efficient Execution of Functional Mappings for Knowledge Graph Creation
- Generate FAIR Literature Surveys with Scholarly Knowledge Graphs
- GeoWINE: Geolocation based Wiki, Image,News and Event Retrieval
- Graphing Contributions in Natural Language Processing Research: Intra-Annotator Agreement on a Trial Dataset
- Guidance on how to use the IUPAC Gold Book as a canonical source for textual definitions in chemical ontologies
- Hurdles to Open Access publishing faced by authors: a scoping literature review from 2004 to 2023
- iART: A Search Engine for Art-Historical Images to Support Research in the Humanities
- iASiS: Towards Heterogeneous Big Data Analysis for Personalized Medicine
- Identifying Metadata Quality Issues Across Cultures
- Improving Generalization for Multimodal Fake News Detection
- Improving Scholarly Knowledge Representation: Evaluating BERT-based Models for Scientific Relation Classification
- Informationsservices auf Augenhöhe – So können Bibliotheken den Forschungsprozess proaktiv unterstützen [Preprint]
- Instruction Finetuning for Leaderboard Generation from Empirical AI Research
- Interpretable Semantic Photo Geolocation
- Iterative Hypothesis Generation for Scientific Discovery with Monte Carlo Nash Equilibrium Self-Refining Trees
- Keep Your Stakeholders Engaged: Interactive Vision Videos in Requirements Engineering
- KG-EmpiRE: A Community-Maintainable Knowledge Graph for a Sustainable Literature Review on the State and Evolution of Empirical Research in Requirements Engineering
- KGMM -- A Maturity Model for Scholarly Knowledge Graphs based on Intertwined Human-Machine Collaboration
- KnowGraph-PM: a Knowledge Graph based Pricing Model for Semiconductors Supply Chains
- Knowledge Graph Building Blocks: An easy-to-use Framework for developing FAIREr Knowledge Graphs
- Knowledge-driven Data Ecosystems Towards Data Transparency
- Knowledge4COVID-19: A Semantic-based Approach for Constructing a COVID-19 related Knowledge Graph from Various Sources and Analysing Treatments' Toxicities
- Large Language Models as Evaluators for Scientific Synthesis
- Large Language Models for Scientific Information Extraction: An Empirical Study for Virology
- Leveraging a Federation of Knowledge Graphs to Improve Faceted Search in Digital Libraries
- Leveraging Large Language Models for Realizing Truly Intelligent User Interfaces
- Leveraging Ontologies to Document Bias in Data
- Linked Open Data Validity : A Technical Report from ISWS 2018