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Knowledge Graphs Semantics Machine Learning And Languages


Knowledge Graphs Semantics Machine Learning And Languages
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Knowledge Graphs Semantics Machine Learning And Languages


Knowledge Graphs Semantics Machine Learning And Languages
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Author : M. Acosta
language : en
Publisher: IOS Press
Release Date : 2023-10-03

Knowledge Graphs Semantics Machine Learning And Languages written by M. Acosta and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-03 with Computers categories.


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.



Semantic Systems The Power Of Ai And Knowledge Graphs


Semantic Systems The Power Of Ai And Knowledge Graphs
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Author : Maribel Acosta
language : en
Publisher: Springer Nature
Release Date : 2019-11-04

Semantic Systems The Power Of Ai And Knowledge Graphs written by Maribel Acosta and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-04 with Computers categories.


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 Graph And Semantic Computing Knowledge Computing And Language Understanding


Knowledge Graph And Semantic Computing Knowledge Computing And Language Understanding
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Author : Xiaoyan Zhu
language : en
Publisher: Springer Nature
Release Date : 2020-01-03

Knowledge Graph And Semantic Computing Knowledge Computing And Language Understanding written by Xiaoyan Zhu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-03 with Computers categories.


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 Graphs


Knowledge Graphs
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Author : Mayank Kejriwal
language : en
Publisher: MIT Press
Release Date : 2021-03-30

Knowledge Graphs written by Mayank Kejriwal and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-30 with Computers categories.


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.



Knowledge Graphs


Knowledge Graphs
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Author : Aidan Hogan
language : en
Publisher: Springer Nature
Release Date : 2022-06-01

Knowledge Graphs written by Aidan Hogan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-01 with Computers categories.


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 Ai In Knowledge Graphs


Semantic Ai In Knowledge Graphs
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Author : Sanju Tiwari
language : en
Publisher: CRC Press
Release Date : 2023-08-21

Semantic Ai In Knowledge Graphs written by Sanju Tiwari and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-21 with Computers categories.


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.



The Semantic Web


The Semantic Web
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Author : Catia Pesquita
language : en
Publisher: Springer Nature
Release Date : 2023-05-21

The Semantic Web written by Catia Pesquita and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-21 with Computers categories.


This book constitutes the refereed proceedings of the 20th International Conference on The Semantic Web, ESWC 2023, held in Hersonissos, Crete, Greece, during May 28–June 1, 2023. The 41 full papers included in this book were carefully reviewed and selected from 167 submissions. They are organized in topical sections as follows: research, resource and in-use.



The Semantic Web Iswc 2020


The Semantic Web Iswc 2020
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Author : Jeff Z. Pan
language : en
Publisher: Springer Nature
Release Date : 2020-10-31

The Semantic Web Iswc 2020 written by Jeff Z. Pan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-31 with Computers categories.


The two volume set LNCS 12506 and 12507 constitutes the proceedings of the 19th International Semantic Web Conference, ISWC 2020, which was planned to take place in Athens, Greece, during November 2-6, 2020. The conference changed to a virtual format due to the COVID-19 pandemic. The papers included in this volume deal with the latest advances in fundamental research, innovative technology, and applications of the Semantic Web, linked data, knowledge graphs, and knowledge processing on the Web. They were carefully reviewed and selected for inclusion in the proceedings as follows: Part I: Features 38 papers from the research track which were accepted from 170 submissions; Part II: Includes 22 papers from the resources track which were accepted from 71 submissions; and 21 papers in the in-use track, which had a total of 46 submissions. Chapter “Transparent Integration and Sharing of Life Cycle Sustainability Data with Provenance ” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.



Graph Learning And Network Science For Natural Language Processing


Graph Learning And Network Science For Natural Language Processing
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Author : Muskan Garg
language : en
Publisher: CRC Press
Release Date : 2022-12-28

Graph Learning And Network Science For Natural Language Processing written by Muskan Garg and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-28 with Business & Economics categories.


Advances in graph-based natural language processing (NLP) and information retrieval tasks have shown the importance of processing using the Graph of Words method. This book covers recent concrete information, from the basics to advanced level, about graph-based learning, such as neural network-based approaches, computational intelligence for learning parameters and feature reduction, and network science for graph-based NPL. It also contains information about language generation based on graphical theories and language models. Features: Presents a comprehensive study of the interdisciplinary graphical approach to NLP Covers recent computational intelligence techniques for graph-based neural network models Discusses advances in random walk-based techniques, semantic webs, and lexical networks Explores recent research into NLP for graph-based streaming data Reviews advances in knowledge graph embedding and ontologies for NLP approaches This book is aimed at researchers and graduate students in computer science, natural language processing, and deep and machine learning.



Mastering Sparql


Mastering Sparql
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Author : Robert Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-01-04

Mastering Sparql written by Robert Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-04 with Computers categories.


"Mastering SPARQL: Querying the Semantic Web with RDF" is an essential guide for anyone looking to harness the full potential of Semantic Web technologies. This comprehensive text unravels the complexities of SPARQL, the powerful query language that enables seamless interaction with RDF data. Geared towards both beginners and those with some familiarity in the field, the book offers a structured exploration of RDF and SPARQL, blending foundational knowledge with advanced querying techniques to empower readers in managing and analyzing rich, interconnected datasets. Through carefully curated chapters, readers are taken on an informative journey—from understanding the intricacies of the RDF data model to leveraging SPARQL's sophisticated features for real-world applications. Each section builds methodically on the last, covering everything from the fundamentals of SPARQL syntax to optimizing query performance and integrating SPARQL with other Semantic Web technologies. Written with clarity and precision, "Mastering SPARQL" not only equips readers with the technical skills needed to thrive in the realm of semantic data but also inspires them to apply these insights across diverse disciplines, driving innovation and enhancing data-driven decision-making.