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Knowledge Graph and Semantic Computing. Knowledge Computing and Language Understanding

E-BookPDF1 - PDF WatermarkE-Book
143 Seiten
Englisch
Springer Nature Singaporeerschienen am07.12.20181st ed. 2019
This book constitutes the refereed proceedings of the Third China Conference on Knowledge Graph and Semantic Computing, CCKS 2018, held in Tianjin, China, in August 2018.


The 27 revised full papers and 2 revised short papers presented were carefully reviewed and selected from 101 submissions. The papers cover wide research fields including the knowledge graph, information extraction, knowledge representation and reasoning, linked data.
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Verfügbare Formate
BuchKartoniert, Paperback
EUR53,49
E-BookPDF1 - PDF WatermarkE-Book
EUR53,49

Produkt

KlappentextThis book constitutes the refereed proceedings of the Third China Conference on Knowledge Graph and Semantic Computing, CCKS 2018, held in Tianjin, China, in August 2018.


The 27 revised full papers and 2 revised short papers presented were carefully reviewed and selected from 101 submissions. The papers cover wide research fields including the knowledge graph, information extraction, knowledge representation and reasoning, linked data.
Details
Weitere ISBN/GTIN9789811331466
ProduktartE-Book
EinbandartE-Book
FormatPDF
Format Hinweis1 - PDF Watermark
FormatE107
Erscheinungsjahr2018
Erscheinungsdatum07.12.2018
Auflage1st ed. 2019
Reihen-Nr.957
Seiten143 Seiten
SpracheEnglisch
IllustrationenXVI, 143 p. 77 illus., 45 illus. in color.
Artikel-Nr.5013671
Rubriken
Genre9200

Inhalt/Kritik

Inhaltsverzeichnis
Towards answering geography questions in Gaokao: a hybrid approach.- Distant supervision for chinese temporal tagging.- Convolutional neural network-based question answering over knowledge base with type constraint.- MMCRD: An effective algorithm for deploying monitoring point on social network.- Deep learning for knowledge-driven ontology stream prediction.- DSKG: a Deep sequential model for knowledge graph completion.- Pattern learning for Chinese open information extraction.- Adversarial training for relation classification with attention based gate mechanism.- A novel approach on entity linking for encyclopedia infoboxes.- Predicting concept-based research trends with rhetorical framing.- Knowledge augmented inference network for natural language inference.- Survey on schema induction from knowledge graphs.mehr

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