Knowledge Graphs and Semantic Web

Knowledge Graphs and Semantic Web
Author: Boris Villazón-Terrazas,Fernando Ortiz-Rodríguez,Sanju Tiwari,Ayush Goyal,MA Jabbar
Publsiher: Springer Nature
Total Pages: 331
Release: 2021-11-23
Genre: Computers
ISBN: 9783030913052

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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.

Semantic Systems In the Era of Knowledge Graphs

Semantic Systems  In the Era of Knowledge Graphs
Author: Eva Blomqvist,Paul Groth,Victor de Boer,Tassilo Pellegrini,Mehwish Alam,Tobias Käfer,Peter Kieseberg,Sabrina Kirrane,Albert Meroño-Peñuela,Harshvardhan J. Pandit
Publsiher: Springer Nature
Total Pages: 127
Release: 2020-10-26
Genre: Computers
ISBN: 9783030598334

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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 Semantic Knowledge and Linked Big Data

Knowledge Graph and Semantic Computing  Semantic  Knowledge  and Linked Big Data
Author: Huajun Chen,Heng Ji,Le Sun,Haixun Wang,Tieyun Qian,Tong Ruan
Publsiher: Springer
Total Pages: 250
Release: 2016-11-21
Genre: Computers
ISBN: 9789811031687

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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 and Semantic Web

Knowledge Graphs and Semantic Web
Author: Boris Villazón-Terrazas,Yusniel Hidalgo-Delgado
Publsiher: Springer
Total Pages: 201
Release: 2019-05-19
Genre: Computers
ISBN: 3030213943

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This book constitutes the thoroughly refereed proceedings of the First Iberoamerican Conference, KGSWC 2019, held in Villa Clara, Cuba, in June 2019. The 14 full papers and 1 short paper presented were carefully reviewed and selected from 33 submissions. The papers cover wide research fields including artificial intelligence; knowledge representation and reasoning; ontology engineering; natural language processing; description logics; information systems; query languages; world wide web; semantic web description languages; and information retrieval.

Semantic Systems The Power of AI and Knowledge Graphs

Semantic Systems  The Power of AI and Knowledge Graphs
Author: Maribel Acosta,Philippe Cudré-Mauroux,Maria Maleshkova,Tassilo Pellegrini,Harald Sack,York Sure-Vetter
Publsiher: Springer Nature
Total Pages: 392
Release: 2019-11-04
Genre: Computers
ISBN: 9783030332204

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This open access book constitutes the refereed proceedings of the 15th International Conference on Semantic Systems, SEMANTiCS 2019, held in Karlsruhe, Germany, in September 2019. The 20 full papers and 8 short papers presented in this volume were carefully reviewed and selected from 88 submissions. They cover topics such as: web semantics and linked (open) data; machine learning and deep learning techniques; semantic information management and knowledge integration; terminology, thesaurus and ontology management; data mining and knowledge discovery; semantics in blockchain and distributed ledger technologies.

Exploiting Semantic Web Knowledge Graphs in Data Mining

Exploiting Semantic Web Knowledge Graphs in Data Mining
Author: P. Ristoski
Publsiher: IOS Press
Total Pages: 244
Release: 2019-06-28
Genre: Computers
ISBN: 9781614999812

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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 Knowledge Graph Empowers New Infrastructure Construction

Knowledge Graph and Semantic Computing  Knowledge Graph Empowers New Infrastructure Construction
Author: Bing Qin
Publsiher: Springer Nature
Total Pages: 135
Release: 2022
Genre: Electronic Book
ISBN: 9789811664717

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Knowledge Graph and Semantic Computing Knowledge Graph and Cognitive Intelligence

Knowledge Graph and Semantic Computing  Knowledge Graph and Cognitive Intelligence
Author: Huajun Chen,Kang Liu,Yizhou Sun,Suge Wang,Lei Hou
Publsiher: Springer Nature
Total Pages: 336
Release: 2021-05-05
Genre: Computers
ISBN: 9789811619649

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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 Graph and Semantic Computing Language Knowledge and Intelligence

Knowledge Graph and Semantic Computing  Language  Knowledge  and Intelligence
Author: Juanzi Li,Ming Zhou,Guilin Qi,Ni Lao,Tong Ruan,Jianfeng Du
Publsiher: Springer
Total Pages: 173
Release: 2018-01-18
Genre: Computers
ISBN: 9789811073595

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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
Author: Xiaoyan Zhu,Bing Qin,Xiaodan Zhu,Ming Liu,Longhua Qian
Publsiher: Springer Nature
Total Pages: 211
Release: 2020-01-03
Genre: Computers
ISBN: 9789811519567

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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
Author: Jun Zhao,Frank van Harmelen,Jie Tang,Xianpei Han,Quan Wang,Xianyong Li
Publsiher: Springer
Total Pages: 143
Release: 2018-12-07
Genre: Computers
ISBN: 9789811331466

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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.

Further with Knowledge Graphs

Further with Knowledge Graphs
Author: M. Alam,P. Groth,V. de Boer
Publsiher: IOS Press
Total Pages: 282
Release: 2021-09-23
Genre: Computers
ISBN: 9781643682013

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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 Graphs

Knowledge Graphs
Author: Aidan Hogan,Eva Blomqvist,Michael Cochez,Claudia d’Amato,Gerard de Melo,Claudio Gutierrez,Sabrina Kirrane,Jose Emilio Labra Gayo,Roberto Navigli,Sebastian Neumaier,Axel-Cyrille Ngonga Ngomo,Axel Polleres,Sabbir M. Rashid,Anisa Rula,Juan Sequeda,Lukas Schmelzeisen,Steffen Staab,Antoine Zimmermann
Publsiher: Morgan & Claypool Publishers
Total Pages: 257
Release: 2021-11-08
Genre: Computers
ISBN: 9781636392363

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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 New Infrastructure Construction

Knowledge Graph and Semantic Computing  Knowledge Graph Empowers New Infrastructure Construction
Author: Bing Qin,Zhi Jin,Haofen Wang,Jeff Pan,Yongbin Liu,Bo An
Publsiher: Springer
Total Pages: 330
Release: 2021-10-07
Genre: Computers
ISBN: 9811664706

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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.

Advanced Concepts Methods and Applications in Semantic Computing

Advanced Concepts  Methods  and Applications in Semantic Computing
Author: Daramola, Olawande,Moser, Thomas
Publsiher: IGI Global
Total Pages: 296
Release: 2020-12-18
Genre: Computers
ISBN: 9781799866992

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Semantic computing is critical for the development of semantic systems and applications that must utilize semantic analysis, semantic description, semantic interfaces, and semantic integration of data and services to deliver their objectives. Semantic computing has enormous capabilities to enhance the efficiency and throughput of systems that are based on key emerging concepts and technologies such as semantic web, internet of things, blockchain technology, and knowledge graphs. Thus, research that expounds advanced concepts, methods, technologies, and applications of semantic computing for solving challenges in real-world domains is vital. Advanced Concepts, Methods, and Applications in Semantic Computing is a scholarly reference book that provides a sound theoretical foundation for the application of semantic methods, concepts, and technologies for practical problem solving. It is designed as a comprehensive and reliable resource on how semantic-oriented approaches can be used to aid new emergent technologies and tackle real-world problems. Covering topics that include deep learning, machine learning, blockchain technology, and semantic web services, this book is ideal for professionals, academicians, researchers, and students working in the field of semantic computing in various disciplines, including but not limited to software engineering, systems engineering, knowledge engineering, electronic commerce, computer science, and information technology.