Knowledge Graphs and Semantic Web : 7th International Conference, KGSWC 2025, Leipzig, Germany, November 26-28, 2025, Proceedings (Lecture Notes in Computer Science 16373) (2026. xx, 301 S. XX, 301 p. 235 mm)

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Knowledge Graphs and Semantic Web : 7th International Conference, KGSWC 2025, Leipzig, Germany, November 26-28, 2025, Proceedings (Lecture Notes in Computer Science 16373) (2026. xx, 301 S. XX, 301 p. 235 mm)

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Full Description

This book constitutes the refereed proceedings of the 7th International Conference on Knowledge Graphs and Semantic Web, KGSWC 2025, held in Leipzig, Germany, during November 26-28, 2025.

The 18 full papers and 3 short papers presented were carefully reviewed and selected from 52 submissions. They focus on latest scientific results and technology innovations related to the Knowledge Graphs and the Semantic Web.

Contents

.- Generation of Interactive Knowledge Graphs to Enable Research of the Effects of Trauma Center Organization on Patient Outcomes.
.- A User-Centered Neuro-Symbolic Approach for Knowledge Graph Creation from Text.
.- Towards dynamically generated KGQA benchmarks for memorization-resistant evaluations.
.- Comparison of Metadata Representation Models for Knowledge Graph Embeddings.
.- EmbER: A Neuro-Symbolic Method for Entity Comparison and Ranking in Text-Rich Knowledge Graphs.
.- A semi-automatic approach to validating ontology alignments based on LLMs and KGs.
.- FarmerLikeMe: A Framework for Goal and Risk-Aware Agricultural Decision Support.
.- Author Name Disambiguation in LAGOS-AND using a Hybrid Approach.
.- Beyond Equivalence: Benchmark Datasets for Ontology Alignment.
.- Research Directions for Ontology-Guided Domain-Specific Knowledge Graph Population Using LLMs.
.- Knowledge Graphs in the Real-World: Noisy Data and Embedding-Based Entity Alignment Algorithms.
.- Bridging Property Graphs and Knowledge Graphs: A Category Theory Approach to Interoperable Graph Transformation.
.- Context Specific Refinement of Protein Interaction Network for Knowledge Graph Completion.
.- Reconstructing the Temporal Evolution of Geographic Entities from Fragmentary Knowledge.
.- Knowledge Conceptualization Impacts RAG Efficacy.
.- A Bottom-Up Framework for Legal Knowledge Graph Construction: A Case Study on Gender-Based Violence.
.- Ontop-driven Federated Virtual Knowledge Graphs: A Robust Framework to Revolutionizing Fragmented Battery Data Integration.
.- Using Legislative Change History of Statutes Based on a Linked Open Data Knowledge Graph.
.- Analyzing Aggregated Knowledge Graphs on a Global Level for Better Data Literacy: Case LetterSampo Finland.
.- How ontology can improve explainable AI techniques: A review of existing approaches and a proposed roadmap in the Information Extraction area.
.- Breaking the Latency Barrier: Real-time Incremental Community Detection with Live Graph Data on a Unified Graph Database Framework.

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