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024 7 _a10.1007/978-3-031-19433-7
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082 0 4 _a005.74
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245 1 4 _aThe Semantic Web – ISWC 2022
_h[electronic resource] :
_b21st International Semantic Web Conference, Virtual Event, October 23–27, 2022, Proceedings /
_cedited by Ulrike Sattler, Aidan Hogan, Maria Keet, Valentina Presutti, João Paulo A. Almeida, Hideaki Takeda, Pierre Monnin, Giuseppe Pirrò, Claudia d’Amato.
250 _a1st ed. 2022.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2022.
300 _aXXXIX, 865 p. 203 illus., 176 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
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347 _atext file
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490 1 _aLecture Notes in Computer Science,
_x1611-3349 ;
_v13489
505 0 _aResearch Track -- Resources Track -- In-Use Track. .
520 _aThis book constitutes the proceedings of the 21st International Semantic Web Conference, ISWC 2022, which took place in October 2022 in a virtual mode. The 48 full papers presented in this volume were thoroughly reviewed and selected from 239 submissions. They deal with the latest advances in fundamental research, innovative technology, and applications of the Semantic Web, linked data, knowledge graphs, and knowledge processing on the Web. Papers are organized in a research track, resources and in-use track. The research track details theoretical, analytical and empirical aspects of the Semantic Web and its intersection with other disciplines. The resources track promotes the sharing of resources which support, enable or utilize semantic web research, including datasets, ontologies, software, and benchmarks. And finally, the in-use-track is dedicated to novel and significant research contributions addressing theoretical, analytical and empirical aspects of the Semantic Web and its intersection with other disciplines. The chapters "Hashing the Hypertrie: Space- and Time-Efficient Indexing for SPARQL in Tensors", "Agree to Disagree: Managing Ontological Perspectives using Standpoint Logic", "GNNQ: A Neuro-Symbolic Approach to Query Answering over Incomplete Knowledge Graphs", "ISSA: Generic Pipeline, Knowledge Model and Visualization tools to Help Scientists Search and Make Sense of a Scientific Archiveare" are licensed under the terms of the Creative Commons Attribution 4.0 International License.
650 0 _aDatabase management.
650 0 _aArtificial intelligence.
650 0 _aApplication software.
650 0 _aComputer science.
650 0 _aData structures (Computer science).
650 0 _aInformation theory.
650 1 4 _aDatabase Management.
650 2 4 _aArtificial Intelligence.
650 2 4 _aComputer and Information Systems Applications.
650 2 4 _aTheory of Computation.
650 2 4 _aComputer and Information Systems Applications.
650 2 4 _aData Structures and Information Theory.
700 1 _aSattler, Ulrike.
_eeditor.
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700 1 _aHogan, Aidan.
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700 1 _aKeet, Maria.
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700 1 _aPresutti, Valentina.
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700 1 _aAlmeida, João Paulo A.
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700 1 _aTakeda, Hideaki.
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700 1 _aMonnin, Pierre.
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700 1 _aPirrò, Giuseppe.
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700 1 _ad’Amato, Claudia.
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710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
_z9783031194344
830 0 _aLecture Notes in Computer Science,
_x1611-3349 ;
_v13489
856 4 0 _uhttps://doi.org/10.1007/978-3-031-19433-7
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