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Record Nr. |
UNINA9911048822903321 |
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Autore |
Villazón-Terrazas Boris |
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Titolo |
Knowledge Graphs and Semantic Web : 7th International Conference, KGSWC 2025, Leipzig, Germany, November 26–28, 2025, Proceedings / / edited by Boris Villazón-Terrazas, Fernando Ortiz-Rodriguez, Sanju Tiwari, Thomas Riechert, Edgard Marx |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 |
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ISBN |
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Edizione |
[1st ed. 2026.] |
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Descrizione fisica |
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1 online resource (460 pages) |
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Collana |
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Lecture Notes in Computer Science, , 1611-3349 ; ; 16373 |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Artificial intelligence |
Database management |
Mathematics - Data processing |
Data structures (Computer science) |
Information theory |
Information technology - Management |
Artificial Intelligence |
Database Management System |
Computational Mathematics and Numerical Analysis |
Data Structures and Information Theory |
Computer Application in Administrative Data Processing |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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-- 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 |
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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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Sommario/riassunto |
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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. |
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