Knowledge Graph and Semantic Computing. Knowledge Computing and Language Understanding

Third China Conference, CCKS 2018, Tianjin, China, August 14-17, 2018, Revised Selected Papers
1. Auflage 2019
ISBN: 978-981-13-3145-9
Verlag: Springer Nature Singapore

Buch, Englisch, Band 957, 143 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 254 g

Reihe: Communications in Computer and Information Science

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.

Zielgruppe

Research

Autoren/Hrsg.

Zhao, Jun

Harmelen, Frank Van

Li, Xianyong

Tang, Jie

Han, Xianpei

Wang, Quan

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Spracherkennung, Sprachverarbeitung
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme

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.