Knowledge Graphs And Semantic Web

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Knowledge Graphs and Semantic Web

Author : Boris Villazón-Terrazas,Fernando Ortiz-Rodríguez,Sanju Tiwari,Ayush Goyal,MA Jabbar
Publisher : Springer Nature
Page : 352 pages
File Size : 47,7 Mb
Release : 2021-11-23
Category : Computers
ISBN : 9783030913052

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Knowledge Graphs and Semantic Web by Boris Villazón-Terrazas,Fernando Ortiz-Rodríguez,Sanju Tiwari,Ayush Goyal,MA Jabbar Pdf

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,Yusniel Hidalgo-Delgado
Publisher : Unknown
Page : 201 pages
File Size : 40,8 Mb
Release : 2019
Category : Semantic Web
ISBN : 303021396X

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Knowledge Graphs and Semantic Web by Boris Villazón-Terrazas,Yusniel Hidalgo-Delgado Pdf

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.

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 Polleres,Sabbir Rashid,Anisa Rula,Antoine Zimmermann,Lukas Schmelzeisen,Axel-Cyrille Ngonga Ngomo,Juan Sequeda,Steffen Staab
Publisher : Springer Nature
Page : 247 pages
File Size : 45,7 Mb
Release : 2022-06-01
Category : Computers
ISBN : 9783031019180

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Knowledge Graphs by 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 Polleres,Sabbir Rashid,Anisa Rula,Antoine Zimmermann,Lukas Schmelzeisen,Axel-Cyrille Ngonga Ngomo,Juan Sequeda,Steffen Staab Pdf

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.

Exploiting Semantic Web Knowledge Graphs in Data Mining

Author : P. Ristoski
Publisher : IOS Press
Page : 246 pages
File Size : 54,5 Mb
Release : 2019-06-28
Category : Computers
ISBN : 9781614999812

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Exploiting Semantic Web Knowledge Graphs in Data Mining by P. Ristoski Pdf

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 and Semantic Web

Author : Boris Villazón-Terrazas,Fernando Ortiz-Rodriguez,Sanju Tiwari,Miguel-Angel Sicilia,David Martín-Moncunill
Publisher : Springer Nature
Page : 355 pages
File Size : 51,5 Mb
Release : 2022-11-12
Category : Computers
ISBN : 9783031214226

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Knowledge Graphs and Semantic Web by Boris Villazón-Terrazas,Fernando Ortiz-Rodriguez,Sanju Tiwari,Miguel-Angel Sicilia,David Martín-Moncunill Pdf

This book constitutes the proceedings of the 4th Iberoamerican Conference and third Indo-American Conference on Knowledge Graphs and Semantic Web, KGSWC 2022, which took place in Madrid, Spain, in November 2022. The 22 full and 3 short research papers presented in this volume were carefully reviewed and selected from 63 submissions. The papers cover topics related to software and its engineering, software creation and management, Emerging technologies, Analysis and design of emerging devices and systems, Emerging tools and methodologies and others.

Semantic Systems. The Power of AI and Knowledge Graphs

Author : Maribel Acosta,Philippe Cudré-Mauroux,Maria Maleshkova,Tassilo Pellegrini,Harald Sack,York Sure-Vetter
Publisher : Springer Nature
Page : 400 pages
File Size : 42,7 Mb
Release : 2019-11-04
Category : Computers
ISBN : 9783030332204

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Semantic Systems. The Power of AI and Knowledge Graphs by Maribel Acosta,Philippe Cudré-Mauroux,Maria Maleshkova,Tassilo Pellegrini,Harald Sack,York Sure-Vetter Pdf

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
Page : 268 pages
File Size : 47,5 Mb
Release : 2015-07-09
Category : Language Arts & Disciplines
ISBN : 9781780634340

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

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

The Knowledge Graph CookBook

Author : Andreas Blumauer,Helmut Nagy
Publisher : Unknown
Page : 128 pages
File Size : 52,7 Mb
Release : 2020
Category : Electronic
ISBN : 3902796707

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The Knowledge Graph CookBook by Andreas Blumauer,Helmut Nagy Pdf

Knowledge Graphs and Semantic Web

Author : Boris Villazón-Terrazas,Fernando Ortiz-Rodríguez,Sanju M. Tiwari,Shishir K. Shandilya
Publisher : Springer
Page : 215 pages
File Size : 50,7 Mb
Release : 2020-12-10
Category : Computers
ISBN : 3030653838

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Knowledge Graphs and Semantic Web by Boris Villazón-Terrazas,Fernando Ortiz-Rodríguez,Sanju M. Tiwari,Shishir K. Shandilya Pdf

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 and Semantic Web

Author : Boris Villazón-Terrazas,Fernando Ortiz-Rodríguez,Sanju M. Tiwari,Shishir K. Shandilya
Publisher : Springer Nature
Page : 225 pages
File Size : 48,7 Mb
Release : 2020-12-09
Category : Computers
ISBN : 9783030653842

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Knowledge Graphs and Semantic Web by Boris Villazón-Terrazas,Fernando Ortiz-Rodríguez,Sanju M. Tiwari,Shishir K. Shandilya Pdf

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 : Mayank Kejriwal,Craig A. Knoblock,Pedro Szekely
Publisher : MIT Press
Page : 559 pages
File Size : 51,5 Mb
Release : 2021-03-30
Category : Computers
ISBN : 9780262045094

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Knowledge Graphs by Mayank Kejriwal,Craig A. Knoblock,Pedro Szekely Pdf

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,Ora Lassila
Publisher : Springer Nature
Page : 142 pages
File Size : 55,7 Mb
Release : 2022-05-31
Category : Computers
ISBN : 9783031019166

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Designing and Building Enterprise Knowledge Graphs by Juan Sequeda,Ora Lassila Pdf

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.

Knowledge Graphs and Semantic Web

Author : Boris Villazón-Terrazas,Yusniel Hidalgo-Delgado
Publisher : Springer
Page : 201 pages
File Size : 43,9 Mb
Release : 2019-05-18
Category : Computers
ISBN : 9783030213954

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Knowledge Graphs and Semantic Web by Boris Villazón-Terrazas,Yusniel Hidalgo-Delgado Pdf

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.

Web Data APIs for Knowledge Graphs

Author : Albert Meroño-Peñuela,Pasquale Lisena,Carlos Martínez-Ortiz
Publisher : Springer Nature
Page : 92 pages
File Size : 54,7 Mb
Release : 2022-05-31
Category : Computers
ISBN : 9783031019173

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Web Data APIs for Knowledge Graphs by Albert Meroño-Peñuela,Pasquale Lisena,Carlos Martínez-Ortiz Pdf

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.

Knowledge Graphs

Author : Dieter Fensel,Umutcan Şimşek,Kevin Angele,Elwin Huaman,Elias Kärle,Oleksandra Panasiuk,Ioan Toma,Jürgen Umbrich,Alexander Wahler
Publisher : Springer Nature
Page : 148 pages
File Size : 53,9 Mb
Release : 2020-01-31
Category : Computers
ISBN : 9783030374396

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Knowledge Graphs by Dieter Fensel,Umutcan Şimşek,Kevin Angele,Elwin Huaman,Elias Kärle,Oleksandra Panasiuk,Ioan Toma,Jürgen Umbrich,Alexander Wahler Pdf

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.