Knowledge Graph and Semantic Computing: Knowledge Graph and Cognitive Intelligence

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Publisher : Springer Nature
ISBN 13 : 9811619646
Total Pages : 336 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Knowledge Graph and Semantic Computing: Knowledge Graph and Cognitive Intelligence by : Huajun Chen

Download or read book Knowledge Graph and Semantic Computing: Knowledge Graph and Cognitive Intelligence written by Huajun Chen and published by Springer Nature. This book was released on 2021-05-05 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 5th China Conference on Knowledge Graph and Semantic Computing, CCKS 2020, held in Nanchang, China, in November 2020. The 26 revised full papers presented were carefully reviewed and selected from 173 submissions. The papers are organized in topical sections on ​knowledge extraction: lexical and entity; knowledge extraction: relation; knowledge extraction: event; knowledge applications: question answering, dialogue, decision support, and recommendation.

Knowledge Graphs

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Publisher : Springer Nature
ISBN 13 : 3031019180
Total Pages : 247 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Knowledge Graphs by : Aidan Hogan

Download or read book Knowledge Graphs written by Aidan Hogan and published by Springer Nature. This book was released on 2022-06-01 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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: Knowledge Graph Empowers the Digital Economy

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Publisher : Springer Nature
ISBN 13 : 9811975965
Total Pages : 229 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Knowledge Graph and Semantic Computing: Knowledge Graph Empowers the Digital Economy by : Maosong Sun

Download or read book Knowledge Graph and Semantic Computing: Knowledge Graph Empowers the Digital Economy written by Maosong Sun and published by Springer Nature. This book was released on 2022-11-18 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Further with Knowledge Graphs

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Publisher : IOS Press
ISBN 13 : 1643682016
Total Pages : 284 pages
Book Rating : 4.6/5 (436 download)

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Book Synopsis Further with Knowledge Graphs by : M. Alam

Download or read book Further with Knowledge Graphs written by M. Alam and published by IOS Press. This book was released on 2021-09-23 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Computing and Language Understanding

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Publisher : Springer Nature
ISBN 13 : 9811519560
Total Pages : 226 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Knowledge Graph and Semantic Computing: Knowledge Computing and Language Understanding by : Xiaoyan Zhu

Download or read book Knowledge Graph and Semantic Computing: Knowledge Computing and Language Understanding written by Xiaoyan Zhu and published by Springer Nature. This book was released on 2020-01-03 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

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Publisher : Springer
ISBN 13 : 9811331464
Total Pages : 143 pages
Book Rating : 4.8/5 (113 download)

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Book Synopsis Knowledge Graph and Semantic Computing. Knowledge Computing and Language Understanding by : Jun Zhao

Download or read book Knowledge Graph and Semantic Computing. Knowledge Computing and Language Understanding written by Jun Zhao and published by Springer. This book was released on 2018-12-07 with total page 143 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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: Semantic, Knowledge, and Linked Big Data

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Publisher : Springer
ISBN 13 : 9811031681
Total Pages : 257 pages
Book Rating : 4.8/5 (11 download)

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Book Synopsis Knowledge Graph and Semantic Computing: Semantic, Knowledge, and Linked Big Data by : Huajun Chen

Download or read book Knowledge Graph and Semantic Computing: Semantic, Knowledge, and Linked Big Data written by Huajun Chen and published by Springer. This book was released on 2016-11-21 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Graph and Semantic Computing. Language, Knowledge, and Intelligence

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Publisher : Springer
ISBN 13 : 9811073597
Total Pages : 186 pages
Book Rating : 4.8/5 (11 download)

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Book Synopsis Knowledge Graph and Semantic Computing. Language, Knowledge, and Intelligence by : Juanzi Li

Download or read book Knowledge Graph and Semantic Computing. Language, Knowledge, and Intelligence written by Juanzi Li and published by Springer. This book was released on 2018-01-18 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Graph Empowers Artificial General Intelligence

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Publisher : Springer Nature
ISBN 13 : 9819972248
Total Pages : 371 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Knowledge Graph and Semantic Computing: Knowledge Graph Empowers Artificial General Intelligence by : Haofen Wang

Download or read book Knowledge Graph and Semantic Computing: Knowledge Graph Empowers Artificial General Intelligence written by Haofen Wang and published by Springer Nature. This book was released on 2023-11-28 with total page 371 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 8th China Conference on Knowledge Graph and Semantic Computing: Knowledge Graph Empowers Artificial General Intelligence, CCKS 2023, held in Shenyang, China, during August 24–27, 2023. The 28 full papers included in this book were carefully reviewed and selected from 106 submissions. They were organized in topical sections as follows: ​knowledge representation and knowledge graph reasoning; knowledge acquisition and knowledge base construction; knowledge integration and knowledge graph management; natural language understanding and semantic computing; knowledge graph applications; knowledge graph open resources; and evaluations.

Knowledge Graph and Semantic Computing: Knowledge Graph Empowers New Infrastructure Construction

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Publisher : Springer Nature
ISBN 13 : 9811664714
Total Pages : 339 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Knowledge Graph and Semantic Computing: Knowledge Graph Empowers New Infrastructure Construction by : Bing Qin

Download or read book Knowledge Graph and Semantic Computing: Knowledge Graph Empowers New Infrastructure Construction written by Bing Qin and published by Springer Nature. This book was released on 2021-10-28 with total page 339 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Exploiting Semantic Web Knowledge Graphs in Data Mining

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Publisher : IOS Press
ISBN 13 : 1614999813
Total Pages : 246 pages
Book Rating : 4.6/5 (149 download)

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Book Synopsis Exploiting Semantic Web Knowledge Graphs in Data Mining by : P. Ristoski

Download or read book Exploiting Semantic Web Knowledge Graphs in Data Mining written by P. Ristoski and published by IOS Press. This book was released on 2019-06-28 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Mining and Knowledge Discovery in Databases (KDD) is a research field concerned with deriving higher-level insights from data. The tasks performed in this field are knowledge intensive and can benefit from additional knowledge from various sources, so many approaches have been proposed that combine Semantic Web data with the data mining and knowledge discovery process. This book, Exploiting Semantic Web Knowledge Graphs in Data Mining, aims to show that Semantic Web knowledge graphs are useful for generating valuable data mining features that can be used in various data mining tasks. In Part I, Mining Semantic Web Knowledge Graphs, the author evaluates unsupervised feature generation strategies from types and relations in knowledge graphs used in different data mining tasks such as classification, regression, and outlier detection. Part II, Semantic Web Knowledge Graphs Embeddings, proposes an approach that circumvents the shortcomings introduced with the approaches in Part I, developing an approach that is able to embed complete Semantic Web knowledge graphs in a low dimensional feature space where each entity and relation in the knowledge graph is represented as a numerical vector. Finally, Part III, Applications of Semantic Web Knowledge Graphs, describes a list of applications that exploit Semantic Web knowledge graphs like classification and regression, showing that the approaches developed in Part I and Part II can be used in applications in various domains. The book will be of interest to all those working in the field of data mining and KDD.

Knowledge Graph and Semantic Computing

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Publisher :
ISBN 13 : 9789811331473
Total Pages : 143 pages
Book Rating : 4.3/5 (314 download)

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Book Synopsis Knowledge Graph and Semantic Computing by : Jun Zhao (College teacher)

Download or read book Knowledge Graph and Semantic Computing written by Jun Zhao (College teacher) and published by . This book was released on 2019 with total page 143 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. Language, Knowledge, and Intelligence

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Publisher :
ISBN 13 : 9789811073601
Total Pages : 173 pages
Book Rating : 4.0/5 (736 download)

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Book Synopsis Knowledge Graph and Semantic Computing. Language, Knowledge, and Intelligence by : Juanzi Li

Download or read book Knowledge Graph and Semantic Computing. Language, Knowledge, and Intelligence written by Juanzi Li and published by . This book was released on 2017 with total page 173 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Semantic Systems. In the Era of Knowledge Graphs

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Publisher : Springer Nature
ISBN 13 : 3030598330
Total Pages : 141 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Semantic Systems. In the Era of Knowledge Graphs by : Eva Blomqvist

Download or read book Semantic Systems. In the Era of Knowledge Graphs written by Eva Blomqvist and published by Springer Nature. This book was released on 2020-10-26 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book constitutes the refereed proceedings of the 16th International Conference on Semantic Systems, SEMANTiCS 2020, held in Amsterdam, The Netherlands, in September 2020. The conference was held virtually due to the COVID-19 pandemic.

Knowledge Graph and Semantic Computing: Knowledge Graph Empowers the Digital Economy

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Publisher :
ISBN 13 : 9789811975974
Total Pages : 0 pages
Book Rating : 4.9/5 (759 download)

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Book Synopsis Knowledge Graph and Semantic Computing: Knowledge Graph Empowers the Digital Economy by : Maosong Sun

Download or read book Knowledge Graph and Semantic Computing: Knowledge Graph Empowers the Digital Economy written by Maosong Sun and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Graphs and Semantic Web

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Publisher : Springer Nature
ISBN 13 : 3030913058
Total Pages : 352 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Knowledge Graphs and Semantic Web by : Boris Villazón-Terrazas

Download or read book Knowledge Graphs and Semantic Web written by Boris Villazón-Terrazas and published by Springer Nature. This book was released on 2021-11-23 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed proceedings of the Third Iberoamerican Conference, KGSWC 2021, held in Kingsville, Texas, USA, in November 2021.* The 22 full and 2 short papers presented were carefully reviewed and selected from 85 submissions. The papers cover topics related to software and its engineering, information systems, software creation and management, World Wide Web, web data description languages, and others. *Due to the Covid-19 pandemic the conference was held virtually.

Knowledge Graph and Semantic Computing: Knowledge Graph and Cognitive Intelligence

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Publisher :
ISBN 13 : 9789811619656
Total Pages : 0 pages
Book Rating : 4.6/5 (196 download)

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Book Synopsis Knowledge Graph and Semantic Computing: Knowledge Graph and Cognitive Intelligence by : Huajun Chen

Download or read book Knowledge Graph and Semantic Computing: Knowledge Graph and Cognitive Intelligence written by Huajun Chen and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 5th China Conference on Knowledge Graph and Semantic Computing, CCKS 2020, held in Nanchang, China, in November 2020. The 26 revised full papers presented were carefully reviewed and selected from 173 submissions. The papers are organized in topical sections on knowledge extraction: lexical and entity; knowledge extraction: relation; knowledge extraction: event; knowledge applications: question answering, dialogue, decision support, and recommendation.