Knowledge Graph And Semantic Computing Semantic Knowledge And Linked Big Data


Knowledge Graph And Semantic Computing Semantic Knowledge And Linked Big Data
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Knowledge Graph And Semantic Computing Semantic Knowledge And Linked Big Data


Knowledge Graph And Semantic Computing Semantic Knowledge And Linked Big Data
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Author : Huajun Chen
language : en
Publisher: Springer
Release Date : 2016-11-21

Knowledge Graph And Semantic Computing Semantic Knowledge And Linked Big Data written by Huajun Chen and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-21 with Computers categories.


This book constitutes the refereed proceedings of the first China Conference on Knowledge Graph and Semantic Computing, CCKS, held in Beijing, China, in September 2016. The 19 revised full papers presented together with 6 shared tasks were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on knowledge representation and learning; knowledge graph construction and information extraction; linked data and knowledge-based systems; shared tasks.



Knowledge Graphs


Knowledge Graphs
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Author : Aidan Hogan
language : en
Publisher: Springer Nature
Release Date : 2022-06-01

Knowledge Graphs written by Aidan Hogan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-01 with Computers categories.


This book provides a comprehensive and accessible introduction to knowledge graphs, which have recently garnered notable attention from both industry and academia. Knowledge graphs are founded on the principle of applying a graph-based abstraction to data, and are now broadly deployed in scenarios that require integrating and extracting value from multiple, diverse sources of data at large scale. The book defines knowledge graphs and provides a high-level overview of how they are used. It presents and contrasts popular graph models that are commonly used to represent data as graphs, and the languages by which they can be queried before describing how the resulting data graph can be enhanced with notions of schema, identity, and context. The book discusses how ontologies and rules can be used to encode knowledge as well as how inductive techniques—based on statistics, graph analytics, machine learning, etc.—can be used to encode and extract knowledge. It covers techniques for the creation, enrichment, assessment, and refinement of knowledge graphs and surveys recent open and enterprise knowledge graphs and the industries or applications within which they have been most widely adopted. The book closes by discussing the current limitations and future directions along which knowledge graphs are likely to evolve. This book is aimed at students, researchers, and practitioners who wish to learn more about knowledge graphs and how they facilitate extracting value from diverse data at large scale. To make the book accessible for newcomers, running examples and graphical notation are used throughout. Formal definitions and extensive references are also provided for those who opt to delve more deeply into specific topics.



Knowledge Graph And Semantic Computing Language Knowledge And Intelligence


Knowledge Graph And Semantic Computing Language Knowledge And Intelligence
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Author : Juanzi Li
language : en
Publisher: Springer
Release Date : 2018-01-18

Knowledge Graph And Semantic Computing Language Knowledge And Intelligence written by Juanzi Li and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-18 with Computers categories.


This book constitutes the refereed proceedings of the Second China Conference on Knowledge Graph and Semantic Computing, CCKS 2017, held in Chengdu, China, in August 2017. The 11 revised full papers and 6 revised short papers presented were carefully reviewed and selected from 85 submissions. The papers cover wide research fields including the knowledge graph, the Semantic Web, linked data, NLP, knowledge representation, graph databases.



Knowledge Graph And Semantic Computing Knowledge Computing And Language Understanding


Knowledge Graph And Semantic Computing Knowledge Computing And Language Understanding
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Author : Xiaoyan Zhu
language : en
Publisher: Springer Nature
Release Date : 2020-01-03

Knowledge Graph And Semantic Computing Knowledge Computing And Language Understanding written by Xiaoyan Zhu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-03 with Computers categories.


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.



Knowledge Graph And Semantic Computing Knowledge Computing And Language Understanding


Knowledge Graph And Semantic Computing Knowledge Computing And Language Understanding
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Author : Jun Zhao
language : en
Publisher: Springer
Release Date : 2018-12-07

Knowledge Graph And Semantic Computing Knowledge Computing And Language Understanding written by Jun Zhao and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-07 with Computers categories.


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.



Knowledge Graph And Semantic Computing


Knowledge Graph And Semantic Computing
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Author : Jun Zhao (College teacher)
language : en
Publisher:
Release Date : 2019

Knowledge Graph And Semantic Computing written by Jun Zhao (College teacher) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Big data categories.


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.



Knowledge Graph And Semantic Computing Knowledge Graph Empowers The Digital Economy


Knowledge Graph And Semantic Computing Knowledge Graph Empowers The Digital Economy
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Author : Maosong Sun
language : en
Publisher: Springer Nature
Release Date : 2022-11-18

Knowledge Graph And Semantic Computing Knowledge Graph Empowers The Digital Economy written by Maosong Sun and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-18 with Computers categories.


This book constitutes the refereed proceedings of the 7th China Conference on Knowledge Graph and Semantic Computing: Knowledge Graph Empowers the Digital Economy, CCKS 2022, in Qinhuangdao, China, August 24–27, 2022. The 15 full papers and 2 short papers included in this book were carefully reviewed and selected from 100 submissions. They were organized in topical sections as follows: knowledge representation and reasoning; knowledge acquisition and knowledge base construction; linked data, knowledge integration, and knowledge graph storage managements; natural language understanding and semantic computing; knowledge graph applications; and knowledge graph open resources.



Knowledge Graph And Semantic Computing Knowledge Graph Empowers New Infrastructure Construction


Knowledge Graph And Semantic Computing Knowledge Graph Empowers New Infrastructure Construction
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Author : Bing Qin
language : en
Publisher: Springer Nature
Release Date : 2021-10-28

Knowledge Graph And Semantic Computing Knowledge Graph Empowers New Infrastructure Construction written by Bing Qin and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-28 with Computers categories.


This book constitutes the refereed proceedings of the 6th China Conference on Knowledge Graph and Semantic Computing, CCKS 2021, held in Guangzhou, China, in November 2021. The 19 revised full papers and 9 short papers presented were carefully reviewed and selected from 170 submissions. The papers are organized in topical sections on ​knowledge extraction: knowledge graph representation and reasoning; knowledge acquisition and knowledge graph construction; linked data, knowledge integration, and knowledge graph storage management; natural language understanding and semantic computing; knowledge graph applications: semantic search, question answering, dialogue, decision support, and recommendation; knowledge graph open resources.



Further With Knowledge Graphs


Further With Knowledge Graphs
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Author : M. Alam
language : en
Publisher: IOS Press
Release Date : 2021-09-23

Further With Knowledge Graphs written by M. Alam and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-23 with Computers categories.


The field of semantic computing is highly diverse, linking areas such as artificial intelligence, data science, knowledge discovery and management, big data analytics, e-commerce, enterprise search, technical documentation, document management, business intelligence, and enterprise vocabulary management. As such it forms an essential part of the computing technology that underpins all our lives today. This volume presents the proceedings of SEMANTiCS 2021, the 17th International Conference on Semantic Systems. As a result of the continuing Coronavirus restrictions, SEMANTiCS 2021 was held in a hybrid form in Amsterdam, the Netherlands, from 6 to 9 September 2021. The annual SEMANTiCS conference provides an important platform for semantic computing professionals and researchers, and attracts information managers, IT­architects, software engineers, and researchers from a wide range of organizations, such as research facilities, NPOs, public administrations and the largest companies in the world. The subtitle of the 2021 conference’s was “In the Era of Knowledge Graphs”, and 66 submissions were received, from which the 19 papers included here were selected following a rigorous single-blind reviewing process; an acceptance rate of 29%. Topics covered include data science, machine learning, logic programming, content engineering, social computing, and the Semantic Web, as well as the additional sub-topics of digital humanities and cultural heritage, legal tech, and distributed and decentralized knowledge graphs. Providing an overview of current research and development, the book will be of interest to all those working in the field of semantic systems.



Knowledge Graph And Semantic Computing


Knowledge Graph And Semantic Computing
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Author : Xiaodan Zhu
language : en
Publisher:
Release Date : 2019

Knowledge Graph And Semantic Computing written by Xiaodan Zhu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Big data categories.


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. --