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Semantic Web Challenges : 5th SemWebEval Challenge at ESWC 2018, Heraklion, Greece, June 3–7, 2018, Revised Selected Papers / / edited by Davide Buscaldi, Aldo Gangemi, Diego Reforgiato Recupero



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Titolo: Semantic Web Challenges : 5th SemWebEval Challenge at ESWC 2018, Heraklion, Greece, June 3–7, 2018, Revised Selected Papers / / edited by Davide Buscaldi, Aldo Gangemi, Diego Reforgiato Recupero Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Edizione: 1st ed. 2018.
Descrizione fisica: 1 online resource (XII, 239 p. 42 illus.)
Disciplina: 025.04
025.0427
Soggetto topico: Information storage and retrieval
Artificial intelligence
Application software
Database management
Data mining
Natural language processing (Computer science)
Information Storage and Retrieval
Artificial Intelligence
Information Systems Applications (incl. Internet)
Database Management
Data Mining and Knowledge Discovery
Natural Language Processing (NLP)
Persona (resp. second.): BuscaldiDavide
GangemiAldo
Reforgiato RecuperoDiego
Nota di contenuto: The mighty storage challenge -- Open knowledge extraction challenge -- Question answering over linked data challenge -- Semantic sentiment analysis.
Sommario/riassunto: This book constitutes the thoroughly refereed post conference proceedings of the 4th edition of the Semantic Web Evaluation Challenge, SemWebEval 2018, co-located with the 15th European Semantic Web conference, held in Heraklion, Greece, in June 2018. This book includes the descriptions of all methods and tools that competed at SemWebEval 2018, together with a detailed description of the tasks, evaluation procedures and datasets. The 18 revised full papers presented in this volume were carefully reviewed and selected from 24 submissions. The contributions are grouped in the areas: the mighty storage challenge; open knowledge extraction challenge; question answering over linked data challenge; semantic sentiment analysis.
Titolo autorizzato: Semantic Web Challenges  Visualizza cluster
ISBN: 3-030-00072-9
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910299291603321
Lo trovi qui: Univ. Federico II
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Serie: Communications in Computer and Information Science, . 1865-0929 ; ; 927