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
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 Aidan Hogan. This book was released on 2022-06-01. Knowledge Graphs available in PDF, EPUB and Kindle. 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 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.
The Knowledge Graph CookBook
The Knowledge Graph CookBook - 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 The Knowledge Graph CookBook write by Andreas Blumauer. This book was released on 2020. The Knowledge Graph CookBook available in PDF, EPUB and Kindle.
The Semantic Web – ISWC 2019
The Semantic Web – ISWC 2019 - 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 The Semantic Web – ISWC 2019 write by Chiara Ghidini. This book was released on 2019-10-17. The Semantic Web – ISWC 2019 available in PDF, EPUB and Kindle. 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.
