Knowledge Graphs Semantics Machine Learning And Languages

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Knowledge Graphs: Semantics, Machine Learning, and Languages

M. Acosta,S. Peroni,S. Vahdati
Knowledge Graphs Semantics Machine Learning and Languages Book PDF

Author : M. Acosta,S. Peroni,S. Vahdati
Publisher : IOS Press
Page : 262 pages
File Size : 40,9 Mb
Release : 2023-10-03
Category : Computers
ISBN : 9781643684253

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Knowledge Graphs: Semantics, Machine Learning, and Languages by M. Acosta,S. Peroni,S. Vahdati Pdf

Semantic computing is an integral part of modern technology, an essential component of fields as diverse 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. This book presents the proceedings of SEMANTICS 2023, the 19th International Conference on Semantic Systems, held in Leipzig, Germany, from 20 to 22 September 2023. The conference is a pivotal event for those professionals and researchers actively engaged in harnessing the power of semantic computing, an opportunity to increase their understanding of the subject’s transformative potential while confronting its practical limitations. Attendees include information managers, IT architects, software engineers, and researchers from a broad spectrum of organizations, including research facilities, non-profit entities, public administrations, and the world's largest corporations. For this year’s conference a total of 54 submissions were received in response to a call for papers. These were subjected to a rigorous, double-blind review process, with at least three independent reviews conducted for each submission. The 16 papers included here were ultimately accepted for presentation, with an acceptance rate of 29.6%. Areas covered include novel research challenges in areas such as data science, machine learning, logic programming, content engineering, social computing, and the Semantic Web. The book provides an up-to-date overview, which will be of interest to all those wishing to stay abreast of emerging trends and themes within the vast field of semantic computing.

Knowledge Graphs

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
Knowledge Graphs Book PDF

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 : 40,5 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.

Knowledge Graphs

Mayank Kejriwal,Craig A. Knoblock,Pedro Szekely
Knowledge Graphs Book PDF

Author : Mayank Kejriwal,Craig A. Knoblock,Pedro Szekely
Publisher : MIT Press
Page : 559 pages
File Size : 51,8 Mb
Release : 2021-03-30
Category : Computers
ISBN : 9780262361880

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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.

Semantic Systems. The Power of AI and Knowledge Graphs

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

Author : Maribel Acosta,Philippe Cudré-Mauroux,Maria Maleshkova,Tassilo Pellegrini,Harald Sack,York Sure-Vetter
Publisher : Springer Nature
Page : 400 pages
File Size : 51,6 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.

Semantic AI in Knowledge Graphs

Sanju Tiwari,Fernando Ortiz Rodriguez,Sarra Ben Abbes,Patience Usoro Usip,Rim Hantach
Semantic AI in Knowledge Graphs Book PDF

Author : Sanju Tiwari,Fernando Ortiz Rodriguez,Sarra Ben Abbes,Patience Usoro Usip,Rim Hantach
Publisher : CRC Press
Page : 230 pages
File Size : 42,6 Mb
Release : 2023-08-21
Category : Computers
ISBN : 9781000911220

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Semantic AI in Knowledge Graphs by Sanju Tiwari,Fernando Ortiz Rodriguez,Sarra Ben Abbes,Patience Usoro Usip,Rim Hantach Pdf

Recent combinations of semantic technology and artificial intelligence (AI) present new techniques to build intelligent systems that identify more precise results. Semantic AI in Knowledge Graphs locates itself at the forefront of this novel development, uncovering the role of machine learning to extend the knowledge graphs by graph mapping or corpus-based ontology learning. Securing efficient results via the combination of symbolic AI and statistical AI such as entity extraction based on machine learning, text mining methods, semantic knowledge graphs, and related reasoning power, this book is the first of its kind to explore semantic AI and knowledge graphs. A range of topics are covered, from neuro-symbolic AI, explainable AI and deep learning to knowledge discovery and mining, and knowledge representation and reasoning. A trailblazing exploration of semantic AI in knowledge graphs, this book is a significant contribution to both researchers in the field of AI and data mining as well as beginner academicians.

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

I. Tiddi,F. Lécué,P. Hitzler
Knowledge Graphs for eXplainable Artificial Intelligence Foundations Applications and Challenges Book PDF

Author : I. Tiddi,F. Lécué,P. Hitzler
Publisher : IOS Press
Page : 314 pages
File Size : 55,6 Mb
Release : 2020-05-06
Category : Computers
ISBN : 9781643680811

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Knowledge Graphs for eXplainable Artificial Intelligence: Foundations, Applications and Challenges by I. Tiddi,F. Lécué,P. Hitzler Pdf

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.

Semantic Systems. In the Era of Knowledge Graphs

Eva Blomqvist,Paul Groth,Victor de Boer,Tassilo Pellegrini,Mehwish Alam,Tobias Käfer,Peter Kieseberg,Sabrina Kirrane,Albert Meroño-Peñuela,Harshvardhan J. Pandit
Semantic Systems In the Era of Knowledge Graphs Book PDF

Author : Eva Blomqvist,Paul Groth,Victor de Boer,Tassilo Pellegrini,Mehwish Alam,Tobias Käfer,Peter Kieseberg,Sabrina Kirrane,Albert Meroño-Peñuela,Harshvardhan J. Pandit
Publisher : Springer Nature
Page : 141 pages
File Size : 54,6 Mb
Release : 2020-10-26
Category : Computers
ISBN : 9783030598334

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Semantic Systems. In the Era of Knowledge Graphs by Eva Blomqvist,Paul Groth,Victor de Boer,Tassilo Pellegrini,Mehwish Alam,Tobias Käfer,Peter Kieseberg,Sabrina Kirrane,Albert Meroño-Peñuela,Harshvardhan J. Pandit Pdf

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.

Semantic Systems. The Power of AI and Knowledge Graphs

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

Author : Maribel Acosta,Philippe Cudré-Mauroux,Maria Maleshkova,Tassilo Pellegrini,Harald Sack,York Sure-Vetter
Publisher : Springer
Page : 392 pages
File Size : 51,5 Mb
Release : 2019-10-24
Category : Computers
ISBN : 3030332195

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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.

Exploiting Semantic Web Knowledge Graphs in Data Mining

P. Ristoski
Exploiting Semantic Web Knowledge Graphs in Data Mining Book PDF

Author : P. Ristoski
Publisher : IOS Press
Page : 246 pages
File Size : 47,9 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

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

Author : Boris Villazón-Terrazas,Fernando Ortiz-Rodríguez,Sanju M. Tiwari,Shishir K. Shandilya
Publisher : Springer Nature
Page : 225 pages
File Size : 46,8 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.

Semantic Systems. The Power of AI and Knowledge Graphs

Maribel Acosta
Semantic Systems The Power of AI and Knowledge Graphs Book PDF

Author : Maribel Acosta
Publisher : Unknown
Page : 0 pages
File Size : 55,7 Mb
Release : 2019
Category : Electronic
ISBN : OCLC:1371337364

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

Semantic Systems. The Power of AI and Knowledge Graphs

York Sure-Vetter,Harald Sack,Philippe Cudré-Mauroux
Semantic Systems The Power of AI and Knowledge Graphs Book PDF

Author : York Sure-Vetter,Harald Sack,Philippe Cudré-Mauroux
Publisher : Saint Philip Street Press
Page : 398 pages
File Size : 49,8 Mb
Release : 2020-10-08
Category : Electronic
ISBN : 1013271068

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Semantic Systems. The Power of AI and Knowledge Graphs by York Sure-Vetter,Harald Sack,Philippe Cudré-Mauroux 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. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.

Further with Knowledge Graphs

M. Alam,P. Groth,V. de Boer
Further with Knowledge Graphs Book PDF

Author : M. Alam,P. Groth,V. de Boer
Publisher : IOS Press
Page : 284 pages
File Size : 45,9 Mb
Release : 2021-09-23
Category : Computers
ISBN : 9781643682013

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Further with Knowledge Graphs by M. Alam,P. Groth,V. de Boer Pdf

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.

Domain-Specific Knowledge Graph Construction

Mayank Kejriwal
Domain Specific Knowledge Graph Construction Book PDF

Author : Mayank Kejriwal
Publisher : Springer
Page : 107 pages
File Size : 55,5 Mb
Release : 2019-03-04
Category : Computers
ISBN : 9783030123758

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Domain-Specific Knowledge Graph Construction by Mayank Kejriwal Pdf

The vast amounts of ontologically unstructured information on the Web, including HTML, XML and JSON documents, natural language documents, tweets, blogs, markups, and even structured documents like CSV tables, all contain useful knowledge that can present a tremendous advantage to the Artificial Intelligence community if extracted robustly, efficiently and semi-automatically as knowledge graphs. Domain-specific Knowledge Graph Construction (KGC) is an active research area that has recently witnessed impressive advances due to machine learning techniques like deep neural networks and word embeddings. This book will synthesize Knowledge Graph Construction over Web Data in an engaging and accessible manner. The book will describe a timely topic for both early -and mid-career researchers. Every year, more papers continue to be published on knowledge graph construction, especially for difficult Web domains. This work would serve as a useful reference, as well as an accessible but rigorous overview of this body of work. The book will present interdisciplinary connections when possible to engage researchers looking for new ideas or synergies. This will allow the book to be marketed in multiple venues and conferences. The book will also appeal to practitioners in industry and data scientists since it will have chapters on both data collection, as well as a chapter on querying and off-the-shelf implementations. The author has, and continues to, present on this topic at large and important conferences. He plans to make the powerpoint he presents available as a supplement to the work. This will draw a natural audience for the book. Some of the reviewers are unsure about his position in the community but that seems to be more a function of his age rather than his relative expertise. I agree with some of the reviewers that the title is a little complicated. I would recommend “Domain Specific Knowledge Graphs”.

Knowledge Graphs and Semantic Web

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

Author : Boris Villazón-Terrazas,Fernando Ortiz-Rodríguez,Sanju Tiwari,Ayush Goyal,MA Jabbar
Publisher : Springer Nature
Page : 352 pages
File Size : 43,9 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.