Knowledge Graphs And Semantic Web

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Knowledge Graphs and Semantic Web

Author : Boris Villazón-Terrazas
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 Graphs and Semantic Web

Author : Boris Villazón-Terrazas
Publisher :
ISBN 13 : 9783030213961
Total Pages : 201 pages
Book Rating : 4.2/5 (139 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 . This book was released on 2019 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Exploiting Semantic Web Knowledge Graphs in Data Mining

Author : P. Ristoski
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 Graphs

Author : Aidan Hogan
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.

Semantic Systems. The Power of AI and Knowledge Graphs

Author : Maribel Acosta
Publisher : Springer Nature
ISBN 13 : 3030332209
Total Pages : 400 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Semantic Systems. The Power of AI and Knowledge Graphs by : Maribel Acosta

Download or read book Semantic Systems. The Power of AI and Knowledge Graphs written by Maribel Acosta and published by Springer Nature. This book was released on 2019-11-04 with total page 400 pages. Available in PDF, EPUB and Kindle. 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.

A Librarian's Guide to Graphs, Data and the Semantic Web

Author : James Powell
Publisher : Elsevier
ISBN 13 : 178063434X
Total Pages : 268 pages
Book Rating : 4.7/5 (86 download)

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Book Synopsis A Librarian's Guide to Graphs, Data and the Semantic Web by : James Powell

Download or read book A Librarian's Guide to Graphs, Data and the Semantic Web written by James Powell and published by Elsevier. This book was released on 2015-07-09 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: Graphs are about connections, and are an important part of our connected and data-driven world. A Librarian's Guide to Graphs, Data and the Semantic Web is geared toward library and information science professionals, including librarians, software developers and information systems architects who want to understand the fundamentals of graph theory, how it is used to represent and explore data, and how it relates to the semantic web. This title provides a firm grounding in the field at a level suitable for a broad audience, with an emphasis on open source solutions and what problems these tools solve at a conceptual level, with minimal emphasis on algorithms or mathematics. The text will also be of special interest to data science librarians and data professionals, since it introduces many graph theory concepts by exploring data-driven networks from various scientific disciplines. The first two chapters consider graphs in theory and the science of networks, before the following chapters cover networks in various disciplines. Remaining chapters move on to library networks, graph tools, graph analysis libraries, information problems and network solutions, and semantic graphs and the semantic web. Provides an accessible introduction to network science that is suitable for a broad audience Devotes several chapters to a survey of how graph theory has been used in a number of scientific data-driven disciplines Explores how graph theory could aid library and information scientists

Knowledge Graphs

Author : Mayank Kejriwal
Publisher : MIT Press
ISBN 13 : 0262045095
Total Pages : 559 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis Knowledge Graphs by : Mayank Kejriwal

Download or read book Knowledge Graphs written by Mayank Kejriwal and published by MIT Press. This book was released on 2021-03-30 with total page 559 pages. Available in PDF, EPUB and Kindle. Book excerpt: A rigorous and comprehensive textbook covering the major approaches to knowledge graphs, an active and interdisciplinary area within artificial intelligence. The field of knowledge graphs, which allows us to model, process, and derive insights from complex real-world data, has emerged as an active and interdisciplinary area of artificial intelligence over the last decade, drawing on such fields as natural language processing, data mining, and the semantic web. Current projects involve predicting cyberattacks, recommending products, and even gleaning insights from thousands of papers on COVID-19. This textbook offers rigorous and comprehensive coverage of the field. It focuses systematically on the major approaches, both those that have stood the test of time and the latest deep learning methods.

Designing and Building Enterprise Knowledge Graphs

Author : Juan Sequeda
Publisher : Springer Nature
ISBN 13 : 3031019164
Total Pages : 142 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Designing and Building Enterprise Knowledge Graphs by : Juan Sequeda

Download or read book Designing and Building Enterprise Knowledge Graphs written by Juan Sequeda and published by Springer Nature. This book was released on 2022-05-31 with total page 142 pages. Available in PDF, EPUB and Kindle. 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.

The Knowledge Graph CookBook

Author : Andreas Blumauer
Publisher :
ISBN 13 : 9783902796707
Total Pages : pages
Book Rating : 4.7/5 (967 download)

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Book Synopsis The Knowledge Graph CookBook by : Andreas Blumauer

Download or read book The Knowledge Graph CookBook written by Andreas Blumauer and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Knowledge Graphs and Semantic Web

Author : Boris Villazón-Terrazas
Publisher : Springer
ISBN 13 : 9783030653835
Total Pages : 215 pages
Book Rating : 4.6/5 (538 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. This book was released on 2020-12-10 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed proceedings of the Second Iberoamerican Conference, KGSWC 2020, held in Mérida, Mexico, in November 2020. Due to the COVID-19 pandemic the conference was held online. The 15 papers presented were carefully reviewed and selected from 45 submissions. The papers cover research and practices in several fields of AI, such as knowledge representation and reasoning, natural language processing/text mining, machine/deep learning, semantic web, and knowledge graphs.

Knowledge Graphs

Author : Dieter Fensel
Publisher : Springer Nature
ISBN 13 : 3030374394
Total Pages : 148 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Knowledge Graphs by : Dieter Fensel

Download or read book Knowledge Graphs written by Dieter Fensel and published by Springer Nature. This book was released on 2020-01-31 with total page 148 pages. Available in PDF, EPUB and Kindle. 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.

Knowledge Graphs and Big Data Processing

Author : Valentina Janev
Publisher : Springer Nature
ISBN 13 : 3030531996
Total Pages : 212 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Knowledge Graphs and Big Data Processing by : Valentina Janev

Download or read book Knowledge Graphs and Big Data Processing written by Valentina Janev and published by Springer Nature. This book was released on 2020-07-15 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book is part of the LAMBDA Project (Learning, Applying, Multiplying Big Data Analytics), funded by the European Union, GA No. 809965. Data Analytics involves applying algorithmic processes to derive insights. Nowadays it is used in many industries to allow organizations and companies to make better decisions as well as to verify or disprove existing theories or models. The term data analytics is often used interchangeably with intelligence, statistics, reasoning, data mining, knowledge discovery, and others. The goal of this book is to introduce some of the definitions, methods, tools, frameworks, and solutions for big data processing, starting from the process of information extraction and knowledge representation, via knowledge processing and analytics to visualization, sense-making, and practical applications. Each chapter in this book addresses some pertinent aspect of the data processing chain, with a specific focus on understanding Enterprise Knowledge Graphs, Semantic Big Data Architectures, and Smart Data Analytics solutions. This book is addressed to graduate students from technical disciplines, to professional audiences following continuous education short courses, and to researchers from diverse areas following self-study courses. Basic skills in computer science, mathematics, and statistics are required.

The Semantic Web – ISWC 2019

Author : Chiara Ghidini
Publisher : Springer Nature
ISBN 13 : 303030793X
Total Pages : 754 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis The Semantic Web – ISWC 2019 by : Chiara Ghidini

Download or read book The Semantic Web – ISWC 2019 written by Chiara Ghidini and published by Springer Nature. This book was released on 2019-10-17 with total page 754 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set of LNCS 11778 and 11779 constitutes the refereed proceedings of the 18th International Semantic Web Conference, ISWC 2019, held in Auckland, New Zealand, in October 2019. The ISWC conference is the premier international forum for the Semantic Web / Linked Data Community. The total of 74 full papers included in this volume was selected from 283 submissions. The conference is organized in three tracks: for the Research Track 42 full papers were selected from 194 submissions; the Resource Track contains 21 full papers, selected from 64 submissions; and the In-Use Track features 11 full papers which were selected from 25 submissions to this track.

Semantic Systems. In the Era of Knowledge Graphs

Author : Eva Blomqvist
Publisher : Springer
ISBN 13 : 9783030598327
Total Pages : 127 pages
Book Rating : 4.5/5 (983 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. This book was released on 2020-10-27 with total page 127 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.

Handbook of Semantic Web Technologies

Author : John Domingue
Publisher : Springer Science & Business Media
ISBN 13 : 3540929126
Total Pages : 1077 pages
Book Rating : 4.5/5 (49 download)

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Book Synopsis Handbook of Semantic Web Technologies by : John Domingue

Download or read book Handbook of Semantic Web Technologies written by John Domingue and published by Springer Science & Business Media. This book was released on 2011-06-19 with total page 1077 pages. Available in PDF, EPUB and Kindle. Book excerpt: After years of mostly theoretical research, Semantic Web Technologies are now reaching out into application areas like bioinformatics, eCommerce, eGovernment, or Social Webs. Applications like genomic ontologies, semantic web services, automated catalogue alignment, ontology matching, or blogs and social networks are constantly increasing, often driven or at least backed up by companies like Google, Amazon, YouTube, Facebook, LinkedIn and others. The need to leverage the potential of combining information in a meaningful way in order to be able to benefit from the Web will create further demand for and interest in Semantic Web research. This movement, based on the growing maturity of related research results, necessitates a reliable reference source from which beginners to the field can draw a first basic knowledge of the main underlying technologies as well as state-of-the-art application areas. This handbook, put together by three leading authorities in the field, and supported by an advisory board of highly reputed researchers, fulfils exactly this need. It is the first dedicated reference work in this field, collecting contributions about both the technical foundations of the Semantic Web as well as their main usage in other scientific fields like life sciences, engineering, business, or education.

The Semantic Web - ISWC 2013

Author : Harith Alani
Publisher : Springer
ISBN 13 : 3642413358
Total Pages : 740 pages
Book Rating : 4.6/5 (424 download)

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Book Synopsis The Semantic Web - ISWC 2013 by : Harith Alani

Download or read book The Semantic Web - ISWC 2013 written by Harith Alani and published by Springer. This book was released on 2013-10-16 with total page 740 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNCS 8218 and 8219 constitutes the refereed proceedings of the 12th International Semantic Web Conference, ISWC 2013, held in Sydney, Australia, in October 2013. The International Semantic Web Conference is the premier forum for Semantic Web research, where cutting edge scientific results and technological innovations are presented, where problems and solutions are discussed, and where the future of this vision is being developed. It brings together specialists in fields such as artificial intelligence, databases, social networks, distributed computing, Web engineering, information systems, human-computer interaction, natural language processing, and the social sciences. Part 1 (LNCS 8218) contains a total of 45 papers which were presented in the research track. They were carefully reviewed and selected from 210 submissions. Part 2 (LNCS 8219) contains 16 papers from the in-use track which were accepted from 90 submissions. In addition, it presents 10 contributions to the evaluations and experiments track and 5 papers of the doctoral consortium.

Knowledge Graphs for eXplainable Artificial Intelligence: Foundations, Applications and Challenges

Author : I. Tiddi
Publisher : IOS Press
ISBN 13 : 1643680811
Total Pages : 314 pages
Book Rating : 4.6/5 (436 download)

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Book Synopsis Knowledge Graphs for eXplainable Artificial Intelligence: Foundations, Applications and Challenges by : I. Tiddi

Download or read book Knowledge Graphs for eXplainable Artificial Intelligence: Foundations, Applications and Challenges written by I. Tiddi and published by IOS Press. This book was released on 2020-05-06 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: The latest advances in Artificial Intelligence and (deep) Machine Learning in particular revealed a major drawback of modern intelligent systems, namely the inability to explain their decisions in a way that humans can easily understand. While eXplainable AI rapidly became an active area of research in response to this need for improved understandability and trustworthiness, the field of Knowledge Representation and Reasoning (KRR) has on the other hand a long-standing tradition in managing information in a symbolic, human-understandable form. This book provides the first comprehensive collection of research contributions on the role of knowledge graphs for eXplainable AI (KG4XAI), and the papers included here present academic and industrial research focused on the theory, methods and implementations of AI systems that use structured knowledge to generate reliable explanations. Introductory material on knowledge graphs is included for those readers with only a minimal background in the field, as well as specific chapters devoted to advanced methods, applications and case-studies that use knowledge graphs as a part of knowledge-based, explainable systems (KBX-systems). The final chapters explore current challenges and future research directions in the area of knowledge graphs for eXplainable AI. The book not only provides a scholarly, state-of-the-art overview of research in this subject area, but also fosters the hybrid combination of symbolic and subsymbolic AI methods, and will be of interest to all those working in the field.