Knowledge Graph and Semantic Computing: Knowledge Computing and Language Understanding - 4th China Conference, CCKS 2019, Hangzhou, China, August 24-27, 2019, Revised Selected Papers

This book constitutes the refereed proceedings of the 4th China Conference on Knowledge Graph and Semantic Computing, CCKS 2019, held in Hangzhou, China, in August 2019. The 18 revised full papers presented were carefully reviewed and selected from 140 submissions. The papers cover wide research fields including the knowledge graph, the semantic Web, linked data, NLP, information extraction, knowledge representation and reasoning.

List of contents

language understanding.- knowledge acquisition.- intelligent services in the context of big data.- academic workshops.- industrial forum.- evaluation and competition.- knowledge graph summit review.- knowledge graph representation and reasoning.- information extraction and knowledge graph construction.- link data.- NLP.- knowledge integration.- knowledge graph storage management.- natural language understanding.- semantic computing and knowledge graph mining.- knowledge graph application.- semantic search.- assistant decision system.- recommendation.

Product details

• Assisted by: Ming Liu (Editor), Longhua Qian (Editor), Bin Qin (Editor), Bing Qin (Editor), Xiaodan Zhu (Editor), Xiaoyan Zhu (Editor), Xiaodan Zhu et al (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 01.02.2020
• EAN: 9789811519550
• ISBN: 978-981-1519-55-0
• No. of pages: 211
• Dimensions: 155 mm x 235 mm x 12 mm
• Weight: 353 g
• Illustrations: XIV, 211 p. 205 illus., 56 illus. in color.
• Series: Communications in Computer and Information Science; Communications in Computer and
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > IT; Informatik, Künstliche Intelligenz, Informationstechnik (IT), allgemeine Themen, Computernetzwerke und maschinelle Kommunikation, ArtificialIntelligence; computationallinguistics; informationextraction; informationretrieval; knowledgebase; knowledgerepresentation; Knowledge-basedsystem; namedentities; namedentityrecognition; NaturalLanguageProcessing(NLP); ontologies; Questiona