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Knowledge graph and semantic computi...

CCKS (Conference) (2018 :)

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Knowledge graph and semantic computing = knowledge computing and language understanding : third China Conference, CCKS 2018, Tianjin, China, August 14-17, 2018 : revised selected papers /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Knowledge graph and semantic computing/ edited by Jun Zhao ... [et al.].
Reminder of title:	knowledge computing and language understanding : third China Conference, CCKS 2018, Tianjin, China, August 14-17, 2018 : revised selected papers /
remainder title:	CCKS 2018
other author:	Zhao, Jun.
corporate name:	CCKS (Conference)
Published:	Singapore :Springer Singapore : : 2019.,
Description:	xvi, 143 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer eBooks
Subject:	Semantic computing - Congresses. -
Online resource:	https://doi.org/10.1007/978-981-13-3146-6
ISBN:	9789811331466

Knowledge graph and semantic computing = knowledge computing and language understanding : third China Conference, CCKS 2018, Tianjin, China, August 14-17, 2018 : revised selected papers /
Knowledge graph and semantic computingknowledge computing and language understanding : third China Conference, CCKS 2018, Tianjin, China, August 14-17, 2018 : revised selected papers /[electronic resource] :CCKS 2018edited by Jun Zhao ... [et al.]. - Singapore :Springer Singapore :2019. - xvi, 143 p. :ill. (some col.), digital ;24 cm. - Communications in computer and information science,9571865-0929 ;. - Communications in computer and information science ;957..

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.

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.

ISBN: 9789811331466

Standard No.: 10.1007/978-981-13-3146-6doiSubjects--Topical Terms:

1085629
Semantic computing
--Congresses.

LC Class. No.: QA76.5913

Dewey Class. No.: 006

Knowledge graph and semantic computing = knowledge computing and language understanding : third China Conference, CCKS 2018, Tianjin, China, August 14-17, 2018 : revised selected papers /
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245 1 0 $a Knowledge graph and semantic computing $h [electronic resource] : $b knowledge computing and language understanding : third China Conference, CCKS 2018, Tianjin, China, August 14-17, 2018 : revised selected papers / $c edited by Jun Zhao ... [et al.].
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260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2019.
300 $a xvi, 143 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Communications in computer and information science, $x 1865-0929 ; $v 957
505 0 $a 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.
520 $a 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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650 2 4 $a Mathematical Logic and Formal Languages. $3 892517
650 2 4 $a Computer Appl. in Administrative Data Processing. $3 892567
650 2 4 $a Data Mining and Knowledge Discovery. $3 898250
700 1 $a Zhao, Jun. $3 1263328
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830 0 $a Communications in computer and information science ; $v 957. $3 3382431
856 4 0 $u https://doi.org/10.1007/978-981-13-3146-6
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