Knowledge Graphs and Language Technology - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Knowledge Graphs and Language Technology write by Marieke van Erp. This book was released on 2017-10-28. Knowledge Graphs and Language Technology available in PDF, EPUB and Kindle. This book constitutes the combined refereed proceedings of ISWC Satellite Wor shops KEKIand NLP&DBpedia 2016 which were held in conjunction with ISWC 2016 in Kobe, Japan, inOctober 2016. The 9 papers presented were carefully selected and reviewed from 20submissions. They focus on the use of linguistic linked open data, the linguistic aspectsof DBpedia, the improvement of of DBpedia through NLP applications, on increasing theNLP applications through integrating knowledge from DPpedia.
Knowledge Graphs
Knowledge Graphs - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Knowledge Graphs write by Mayank Kejriwal. This book was released on 2021-03-30. Knowledge Graphs available in PDF, EPUB and Kindle. 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
Designing and Building Enterprise Knowledge Graphs - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Designing and Building Enterprise Knowledge Graphs write by Juan Sequeda. This book was released on 2022-05-31. Designing and Building Enterprise Knowledge Graphs available in PDF, EPUB and Kindle. 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 Big Data Processing
Knowledge Graphs and Big Data Processing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Knowledge Graphs and Big Data Processing write by Valentina Janev. This book was released on 2020-07-15. Knowledge Graphs and Big Data Processing available in PDF, EPUB and Kindle. 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.
Semantic Systems. The Power of AI and Knowledge Graphs
Semantic Systems. The Power of AI and Knowledge Graphs - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Semantic Systems. The Power of AI and Knowledge Graphs write by Maribel Acosta. This book was released on 2019-11-04. Semantic Systems. The Power of AI and Knowledge Graphs available in PDF, EPUB and Kindle. 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.
