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Record Nr. |
UNINA9910380747903321 |
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Titolo |
Semantic Technology : 9th Joint International Conference, JIST 2019, Hangzhou, China, November 25–27, 2019, Proceedings / / edited by Xin Wang, Francesca Alessandra Lisi, Guohui Xiao, Elena Botoeva |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
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ISBN |
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Edizione |
[1st ed. 2020.] |
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Descrizione fisica |
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1 online resource (XIII, 386 p. 238 illus., 99 illus. in color.) |
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Collana |
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Information Systems and Applications, incl. Internet/Web, and HCI ; ; 12032 |
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Disciplina |
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Soggetti |
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Information storage and retrieval systems |
Database management |
Artificial intelligence |
Application software |
Mathematical logic |
Information Storage and Retrieval |
Database Management |
Artificial Intelligence |
Information Systems Applications (incl. Internet) |
Computer Applications |
Mathematical Logic and Formal Languages |
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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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Note generali |
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Nota di contenuto |
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Artificial intelligence -- Semantic web description languages -- Web Ontology Language (OWL) -- Resource Description Framework (RDF) -- Knowledge representation and reasoning -- Information retrieval query processing -- Description logics -- Ontology engineering -- Information retrieval -- Ontologies -- Natural language processing -- Knowledge Graph Embedding -- Knowledge Base Completion -- Knowledge Graph Construction -- Question Answering Systems -- Graph Database. |
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Sommario/riassunto |
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This book constitutes the thoroughly refereed proceedings of the 9th Joint International Semantic Technology Conference, JIST 2019, held in |
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Hangzhou, China, in November 2019. The 24 full papers presented were carefully reviewed and selected from 70 submissions. They present applications of semantic technologies, theoretical results, new algorithms and tools to facilitate the adoption of semantic technologies and are organized in topical sections on knowledge graphs; data management; question answering and NLP; ontology and reasoning; government open data; and semantic web for life sciences. |
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