The Semantic Web

.- Research.
.- Do Similar Entities have Similar Embeddings.
.- Treat Different Negatives Differently Enriching Loss Functions with Domain and Range Constraints for Link Prediction.
.- QAGCN Answering Multi-Relation Questions via SingleStep Implicit Reasoning over Knowledge Graphs.
.- Leveraging Pretrained Language Models for Time Interval Prediction in TextEnhanced Temporal Knowledge Graphs.
.- A Language Model based Framework for New Concept Placement in Ontologies.
.- HolmE LowDimensional Hyperbolic Knowledge Graph Embedding for Better Extrapolation.
.- SCBlock Supervised Contrastive Blocking within Entity Resolution Pipelines.
.- Navigating Ontology Development with Large Language Models.
.- ESLM Improving Entity Summarization by Leveraging Language Models.
.- Explanation of Link Predictions on Knowledge Graphs via Levelwise Filtering and Graph Summarization.
.- Large Language Models for Scientific Question Answering an Extensive Analysis of the SciQA Benchmark.
.- Efficient Evaluation of Conjunctive Regular Path Queries Using Multiway Joins.
.- Can Contrastive Learning Refine Embeddings.
.- InUse.
.- Automation of Electronic Invoice Validation using Knowledge Graph Technologies.
.- Towards Cyber Mapping the German Financial System with Knowledge Graphs.
.- Integrating domain knowledge for enhanced concept model explainability in Plant Disease classification.
.- Generative Expression Constrained Knowledgebased decoding for Open data.
.- OntoEditor Realtime Collaboration via Distributed Version Control for Ontology Development.