Knowledge graphs and semantic web : 5th Iberoamerican Conference and 4th Indo-American Conference, KGSWC 2023, Zaragoza, Spain, November 13-15, 2023, Proceedings / Fernando Ortiz-Rodriguez, Boris Villazón-Terrazas, Sanju Tiwari, Carlos Bobed, editors.
KGSWC (Conference) (2023 : Zaragoza, Spain); Ortiz-Rodriguez, Fernando, 1974- editor.; Villazón-Terrazas, Boris, editor.; Tiwari, Sanju, editor.; Bobed, Carlos, editor.
2023
QA76.5913
Available Online

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Title Knowledge graphs and semantic web : 5th Iberoamerican Conference and 4th Indo-American Conference, KGSWC 2023, Zaragoza, Spain, November 13-15, 2023, Proceedings / Fernando Ortiz-Rodriguez, Boris Villazón-Terrazas, Sanju Tiwari, Carlos Bobed, editors.
Meeting Name KGSWC (Conference) (2023 : Zaragoza, Spain)
ISBN 9783031477454 (electronic bk.)
3031477456 (electronic bk.)
9783031477447
3031477448
DOI https://doi.org/10.1007/978-3-031-47745-4
Published Cham : Springer, 2023.
Language English
Description 1 online resource (xii, 292 pages) : illustrations (some color).
Other Standard Identifiers 10.1007/978-3-031-47745-4 doi
Call Number QA76.5913
Dewey Decimal Classification 006
Summary This book constitutes the refereed proceedings of the 5th Iberoamerican Conference and 4th Indo-American Conference on Knowledge Graphs and Semantic Web, KGSWC 2023, held jointly in Zaragoza, Spain, during November 13-15, 2023. The 18 full and 2 short papers presented were carefully reviewed and selected from 50 submissions. They focus on the following topics: knowledge representation; natural language processing/text mining; and machine/deep learning research.
Note Includes author index.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed November 7, 2023).
Added Author Ortiz-Rodriguez, Fernando, 1974- editor.
Villazón-Terrazas, Boris, editor.
Tiwari, Sanju, editor.
Bobed, Carlos, editor.
Series Lecture notes in computer science ; 14382. 1611-3349
Available in Other Form Knowledge Graphs and Semantic Web
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An Ontology for Reasoning about Fairness in Regression and Machine Learning
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Topic Modeling for Skill Extraction from Job Postings.

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