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
ISBN: 9811031681
Category: Computers
Language: EN, FR, DE, ES & NL

Knowledge Graph and Semantic Computing Semantic Knowledge and Linked Big Data 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.

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
ISBN: 1643682016
Category: Computers
Language: EN, FR, DE, ES & NL

Further with Knowledge Graphs 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 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
ISBN: 9811664714
Category: Electronic Book
Language: EN, FR, DE, ES & NL

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

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
ISBN: 9811619646
Category: Computers
Language: EN, FR, DE, ES & NL

Knowledge Graph and Semantic Computing Knowledge Graph and Cognitive Intelligence 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 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
ISBN: 9811073597
Category: Computers
Language: EN, FR, DE, ES & NL

Knowledge Graph and Semantic Computing Language Knowledge and Intelligence 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 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
ISBN: 9811519560
Category: Computers
Language: EN, FR, DE, ES & NL

Knowledge Graph and Semantic Computing Knowledge Computing and Language Understanding 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

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
ISBN: 9811331464
Category: Computers
Language: EN, FR, DE, ES & NL

Knowledge Graph and Semantic Computing Knowledge Computing and Language Understanding 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.

Web Data APIs for Knowledge Graphs

Web Data APIs for Knowledge Graphs
Author: Albert Meroño-Peñuela,Pasquale Lisena,Carlos Martínez-Ortiz
Publsiher: Morgan & Claypool Publishers
Total Pages: 118
Release: 2021-10-14
ISBN: 1636392024
Category: Computers
Language: EN, FR, DE, ES & NL

Web Data APIs for Knowledge Graphs Book Excerpt:

This book describes a set of methods, architectures, and tools to extend the data pipeline at the disposal of developers when they need to publish and consume data from Knowledge Graphs (graph-structured knowledge bases that describe the entities and relations within a domain in a semantically meaningful way) using SPARQL, Web APIs, and JSON. To do so, it focuses on the paradigmatic cases of two middleware software packages, grlc and SPARQL Transformer, which automatically build and run SPARQL-based REST APIs and allow the specification of JSON schema results, respectively. The authors highlight the underlying principles behind these technologies—query management, declarative languages, new levels of indirection, abstraction layers, and separation of concerns—, explain their practical usage, and describe their penetration in research projects and industry. The book, therefore, serves a double purpose: to provide a sound and technical description of tools and methods at the disposal of publishers and developers to quickly deploy and consume Web Data APIs on top of Knowledge Graphs; and to propose an extensible and heterogeneous Knowledge Graph access infrastructure that accommodates a growing ecosystem of querying paradigms.

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
ISBN: 3030332209
Category: Computers
Language: EN, FR, DE, ES & NL

Semantic Systems The Power of AI and Knowledge Graphs Book Excerpt:

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.

Knowledge Graphs

Knowledge Graphs
Author: Dieter Fensel,Umutcan Şimşek,Kevin Angele,Elwin Huaman,Elias Kärle,Oleksandra Panasiuk,Ioan Toma,Jürgen Umbrich,Alexander Wahler
Publsiher: Springer Nature
Total Pages: 148
Release: 2020-01-31
ISBN: 3030374394
Category: Computers
Language: EN, FR, DE, ES & NL

Knowledge Graphs Book Excerpt:

This book describes methods and tools that empower information providers to build and maintain knowledge graphs, including those for manual, semi-automatic, and automatic construction; implementation; and validation and verification of semantic annotations and their integration into knowledge graphs. It also presents lifecycle-based approaches for semi-automatic and automatic curation of these graphs, such as approaches for assessment, error correction, and enrichment of knowledge graphs with other static and dynamic resources. Chapter 1 defines knowledge graphs, focusing on the impact of various approaches rather than mathematical precision. Chapter 2 details how knowledge graphs are built, implemented, maintained, and deployed. Chapter 3 then introduces relevant application layers that can be built on top of such knowledge graphs, and explains how inference can be used to define views on such graphs, making it a useful resource for open and service-oriented dialog systems. Chapter 4 discusses applications of knowledge graph technologies for e-tourism and use cases for other verticals. Lastly, Chapter 5 provides a summary and sketches directions for future work. The additional appendix introduces an abstract syntax and semantics for domain specifications that are used to adapt schema.org to specific domains and tasks. To illustrate the practical use of the approaches presented, the book discusses several pilots with a focus on conversational interfaces, describing how to exploit knowledge graphs for e-marketing and e-commerce. It is intended for advanced professionals and researchers requiring a brief introduction to knowledge graphs and their implementation.

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
ISBN: 1799866998
Category: Computers
Language: EN, FR, DE, ES & NL

Advanced Concepts Methods and Applications in Semantic Computing Book Excerpt:

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.

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
ISBN: 3030598330
Category: Computers
Language: EN, FR, DE, ES & NL

Semantic Systems In the Era of Knowledge Graphs 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.

CCKS 2021 Evaluation Track

CCKS 2021   Evaluation Track
Author: Bing Qin,Haofen Wang,Ming Liu,Jiangtao Zhang
Publsiher: Springer Nature
Total Pages: 162
Release: 2022-03-11
ISBN: 9811907137
Category: Computers
Language: EN, FR, DE, ES & NL

CCKS 2021 Evaluation Track Book Excerpt:

This volume constitutes papers presented at the Evaluation Track of the 6th China Conference on Knowledge Graph and Semantic Computing, CCKS 2021, held in Guangzhou, China, in December 2021. The 17 competition papers went through a rigorious peer review and were accepted for publication. CCKS 2021 technology evaluation track aims to provide researchers with platforms and resources for testing knowledge and semantic computing technologies, algorithms and systems, promote the technical development in the field of domestic knowledge, and the integration of academic achievements and industrial needs.

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
ISBN: 1636392369
Category: Computers
Language: EN, FR, DE, ES & NL

Knowledge Graphs 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.

Advanced Multimedia and Ubiquitous Engineering

Advanced Multimedia and Ubiquitous Engineering
Author: James J. Park,Laurence T. Yang,Young-Sik Jeong,Fei Hao
Publsiher: Springer Nature
Total Pages: 425
Release: 2019-08-21
ISBN: 981329244X
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Advanced Multimedia and Ubiquitous Engineering Book Excerpt:

This book presents the combined proceedings of the 13th International Conference on Multimedia and Ubiquitous Engineering (MUE 2019) and the 14th International Conference on Future Information Technology (Future Tech 2019), both held in Xi'an, China, April 24 - 26, 2019. The aim of these two meetings was to promote discussion and interaction among academics, researchers and professionals in the field of ubiquitous computing technologies. These proceedings reflect the state of the art in the development of computational methods, involving theory, algorithms, numerical simulation, error and uncertainty analysis and novel applications of new processing techniques in engineering, science, and other disciplines related to ubiquitous computing.

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
ISBN: 1614999813
Category: Computers
Language: EN, FR, DE, ES & NL

Exploiting Semantic Web Knowledge Graphs in Data Mining 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.

Internet of Things Smart Computing and Technology A Roadmap Ahead

Internet of Things  Smart Computing and Technology  A Roadmap Ahead
Author: Nilanjan Dey,Parikshit. N. Mahalle,Pathan Mohd Shafi,Vinod V. Kimabahune,Aboul Ella Hassanien
Publsiher: Springer Nature
Total Pages: 403
Release: 2020-02-14
ISBN: 3030390470
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Internet of Things Smart Computing and Technology A Roadmap Ahead Book Excerpt:

This book addresses a broad range of topics concerning machine learning, big data, the Internet of things (IoT), and security in the IoT. Its goal is to bring together several innovative studies on these areas, in order to help researchers, engineers, and designers in several interdisciplinary domains pursue related applications. It presents an overview of the various algorithms used, focusing on the advantages and disadvantages of each in the fields of machine learning and big data. It also covers next-generation computing paradigms that are expected to support wireless networking with high data transfer rates and autonomous decision-making capabilities. In turn, the book discusses IoT applications (e.g. healthcare applications) that generate a huge amount of sensor data and imaging data that must be handled correctly for further processing. In the traditional IoT ecosystem, cloud computing offers a solution for the efficient management of huge amounts of data, thanks to its ability to access shared resources and provide a common infrastructure in a ubiquitous manner. Though these new technologies are invaluable, they also reveal serious IoT security challenges. IoT applications are vulnerable to various types of attack such as eavesdropping, spoofing and false data injection, the man-in-the-middle attack, replay attack, denial-of-service attack, jamming attack, flooding attack, etc. These and other security issues in the Internet of things are explored in detail. In addition to highlighting outstanding research and recent advances from around the globe, the book reports on current challenges and future directions in the IoT. Accordingly, it offers engineers, professionals, researchers, and designers an applied-oriented resource to support them in a broad range of interdisciplinary areas.

Designing and Building Enterprise Knowledge Graphs

Designing and Building Enterprise Knowledge Graphs
Author: Juan Sequeda,Ora Lassila
Publsiher: Morgan & Claypool Publishers
Total Pages: 165
Release: 2021-08-05
ISBN: 1636391753
Category: Computers
Language: EN, FR, DE, ES & NL

Designing and Building Enterprise Knowledge Graphs Book Excerpt:

This book is a guide to designing and building knowledge graphs from enterprise relational databases in practice. It presents a principled framework centered on mapping patterns to connect relational databases with knowledge graphs, the roles within an organization responsible for the knowledge graph, and the process that combines data and people. The content of this book is applicable to knowledge graphs being built either with property graph or RDF graph technologies. Knowledge graphs are fulfilling the vision of creating intelligent systems that integrate knowledge and data at large scale. Tech giants have adopted knowledge graphs for the foundation of next-generation enterprise data and metadata management, search, recommendation, analytics, intelligent agents, and more. We are now observing an increasing number of enterprises that seek to adopt knowledge graphs to develop a competitive edge. In order for enterprises to design and build knowledge graphs, they need to understand the critical data stored in relational databases. How can enterprises successfully adopt knowledge graphs to integrate data and knowledge, without boiling the ocean? This book provides the answers.

Signal and Information Processing Networking and Computers

Signal and Information Processing  Networking and Computers
Author: Yue Wang,Meixia Fu,Lexi Xu,Jiaqi Zou
Publsiher: Springer Nature
Total Pages: 923
Release: 2020-04-04
ISBN: 9811541639
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Signal and Information Processing Networking and Computers Book Excerpt:

This book collects selected papers from the 6th Conference on Signal and Information Processing, Networking and Computers, held in Guiyang, China, on August 13 - 16, 2019. Focusing on the latest advances in information theory, communication systems, computer science, aerospace technologies, big data and other related technologies, it offers a valuable resource for researchers and industrial practitioners alike.

Intelligent Data Communication Technologies and Internet of Things

Intelligent Data Communication Technologies and Internet of Things
Author: Jude Hemanth,Robert Bestak,Joy Iong-Zong Chen
Publsiher: Springer Nature
Total Pages: 891
Release: 2021-02-12
ISBN: 9811595097
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Intelligent Data Communication Technologies and Internet of Things Book Excerpt:

This book solicits the innovative research ideas and solutions for almost all the intelligent data intensive theories and application domains. The proliferation of various mobile and wireless communication networks has paved way to foster a high demand for intelligent data processing and communication technologies. The potential of data in wireless mobile networks is enormous, and it constitutes to improve the communication capabilities profoundly. As the networking and communication applications are becoming more intensive, the management of data resources and its flow between various storage and computing resources are posing significant research challenges to both ICT and data science community. The general scope of this book covers the design, architecture, modeling, software, infrastructure and applications of intelligent communication architectures and systems for big data or data-intensive applications. In particular, this book reports the novel and recent research works on big data, mobile and wireless networks, artificial intelligence, machine learning, social network mining, intelligent computing technologies, image analysis, robotics and autonomous systems, data security and privacy.