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ISWC 2024: Baltimore, MD, USA - Part II

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  - conf/semweb/2024-2
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Gianluca Demartini, Katja Hose, Maribel Acosta, Matteo Palmonari, Gong Cheng, Hala Skaf-Molli, Nicolas Ferranti, Daniel Hernández, Aidan Hogan:
The Semantic Web - ISWC 2024 - 23rd International Semantic Web Conference, Baltimore, MD, USA, November 11-15, 2024, Proceedings, Part II. Lecture Notes in Computer Science 15232, Springer 2025, ISBN 978-3-031-77849-0
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  - conf/semweb/FuC24
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Bo Fu, Nicholas Chow:
AdaptLIL: A Real-Time Adaptive Linked Indented List Visualization for Ontology Mapping. 3-22
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  - conf/semweb/MollerU24
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Cedric Möller, Ricardo Usbeck:
DISCIE-Discriminative Closed Information Extraction. 23-40
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  - conf/semweb/ShaoCH24
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Zhoutian Shao, Yuanning Cui, Wei Hu:
Expanding the Scope: Inductive Knowledge Graph Reasoning with Multi-starting Progressive Propagation. 41-58
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  - conf/semweb/JakubowskiB24
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Maxime Jakubowski, Jan Van den Bussche:
Compiling SHACL Into SQL. 59-77
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  - conf/semweb/ChenZZC24
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Qiaosheng Chen, Xiao Zhou, Zhiyang Zhang, Gong Cheng:
DUNKS: Chunking and Summarizing Large and Heterogeneous Data for Dataset Search. 78-97
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  - conf/semweb/PhamMNSA24
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Thi Hoang Thi Pham, Pascal Molli, Brice Nédelec, Hala Skaf-Molli, Julien Aimonier-Davat:
CRAWD: Sampling-Based Estimation of Count-Distinct SPARQL Queries. 98-115
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  - conf/semweb/VuKSL24
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Binh Vu, Craig A. Knoblock, Basel Shbita, Fandel Lin:
Exploiting Distant Supervision to Learn Semantic Descriptions of Tables with Overlapping Data. 116-134
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  - conf/semweb/FariasMRV24
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Benjamín Farias, Wim Martens, Carlos Rojas, Domagoj Vrgoc:
PathFinder: Returning Paths in Graph Queries. 135-154
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  - conf/semweb/PanHSLS24
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Xiny Pan, Daniel Hernández, Philipp Seifer, Ralf Lämmel, Steffen Staab:
eSPARQL: Representing and Reconciling Agnostic and Atheistic Beliefs in RDF-star Knowledge Graphs. 155-172
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  - conf/semweb/PerevalovGEB24
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Aleksandr Perevalov, Aleksandr Gashkov, Maria Eltsova, Andreas Both:
Understanding SPARQL Queries: Are We Already There? Multilingual Natural Language Generation Based on SPARQL Queries and Large Language Models. 173-191
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  - conf/semweb/AdamikPTS24
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Mark Adamik, Romana Pernisch, Ilaria Tiddi, Stefan Schlobach:
Advancing Robotic Perception with Perceived-Entity Linking. 192-209
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  - conf/semweb/OmeliyanenkoHS24
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Janna Omeliyanenko, Andreas Hotho, Daniel Schlör:
PreAdapter: Pre-training Language Models on Knowledge Graphs. 210-226
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  - conf/semweb/BellisANS24
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Alessandro De Bellis, Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio:
PRONTO: Prompt-Based Detection of Semantic Containment Patterns in MLMs. 227-246
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