Linked Data

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Linked Data

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Author : Tom Heath
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2011-02-02

Linked Data written by Tom Heath and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-02-02 with Computers categories.

The World Wide Web has enabled the creation of a global information space comprising linked documents. As the Web becomes ever more enmeshed with our daily lives, there is a growing desire for direct access to raw data not currently available on the Web or bound up in hypertext documents. Linked Data provides a publishing paradigm in which not only documents, but also data, can be a first class citizen of the Web, thereby enabling the extension of the Web with a global data space based on open standards - the Web of Data. In this Synthesis lecture we provide readers with a detailed technical introduction to Linked Data. We begin by outlining the basic principles of Linked Data, including coverage of relevant aspects of Web architecture. The remainder of the text is based around two main themes - the publication and consumption of Linked Data. Drawing on a practical Linked Data scenario, we provide guidance and best practices on: architectural approaches to publishing Linked Data; choosing URIs and vocabularies to identify and describe resources; deciding what data to return in a description of a resource on the Web; methods and frameworks for automated linking of data sets; and testing and debugging approaches for Linked Data deployments. We give an overview of existing Linked Data applications and then examine the architectures that are used to consume Linked Data from the Web, alongside existing tools and frameworks that enable these. Readers can expect to gain a rich technical understanding of Linked Data fundamentals, as the basis for application development, research or further study. Table of Contents: List of Figures / Introduction / Principles of Linked Data / The Web of Data / Linked Data Design Considerations / Recipes for Publishing Linked Data / Consuming Linked Data / Summary and Outlook

Ethics In Linked Data

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Author : Kathleen Burlingame
language : en
Publisher: Library Juice Press
Release Date : 2022-12

Ethics In Linked Data written by Kathleen Burlingame and has been published by Library Juice Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12 with categories.

Linked Data Management

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Author : Andreas Harth
language : en
Publisher: CRC Press
Release Date : 2014-05-01

Linked Data Management written by Andreas Harth and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-01 with Computers categories.

Linked Data Management presents techniques for querying and managing Linked Data that is available on today’s Web. The book shows how the abundance of Linked Data can serve as fertile ground for research and commercial applications. The text focuses on aspects of managing large-scale collections of Linked Data. It offers a detailed introduction to Linked Data and related standards, including the main principles distinguishing Linked Data from standard database technology. Chapters also describe how to generate links between datasets and explain the overall architecture of data integration systems based on Linked Data. A large part of the text is devoted to query processing in different setups. After presenting methods to publish relational data as Linked Data and efficient centralized processing, the book explores lookup-based, distributed, and parallel solutions. It then addresses advanced topics, such as reasoning, and discusses work related to read-write Linked Data for system interoperation. Despite the publication of many papers since Tim Berners-Lee developed the Linked Data principles in 2006, the field lacks a comprehensive, unified overview of the state of the art. Suitable for both researchers and practitioners, this book provides a thorough, consolidated account of the new data publishing and data integration paradigm. While the book covers query processing extensively, the Linked Data abstraction furnishes more than a mechanism for collecting, integrating, and querying data from the open Web—the Linked Data technology stack also allows for controlled, sophisticated applications deployed in an enterprise environment.

Linking Enterprise Data

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Author : David Wood
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-11-10

Linking Enterprise Data written by David Wood and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-11-10 with Computers categories.

Enterprise data is growing at a much faster rate than traditional technologies allow. New enterprise architectures combining existing technologies are desperately needed. This book suggests a way forward by applying new techniques of the World Wide Web to enterprise information systems. Linking Enterprise Data is an edited volume contributed by worldwide leaders in Semantic Web and Linked Data research, standards development and adoption. Linking enterprise data is the application of World Wide Web architecture principles to real-world information management issues faced by commercial, not-for-profit and government enterprises. This book is divided into four sections: Benefits of applying Linked Data principles in enterprise settings, enterprise approval and support of Linked Data projects, specific Linked Data techniques and a number of real-world success stories from early enterprise adopters. Linking Enterprise Data targets professionals working as CTOs, CIOs, enterprise architects, project managers and application developers in commercial, not-for-profit and government organizations concerned with scalability, flexibility and robustness of information management systems. Computer science graduate students and researchers focusing on enterprise information integration will also benefit.

Linked Data For Libraries Archives And Museums

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Author : Seth van Hooland
language : en
Publisher: Facet Publishing
Release Date : 2014-06-18

Linked Data For Libraries Archives And Museums written by Seth van Hooland and has been published by Facet Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-18 with Language Arts & Disciplines categories.

This highly practical handbook teaches you how to unlock the value of your existing metadata through cleaning, reconciliation, enrichment and linking and how to streamline the process of new metadata creation. Libraries, archives and museums are facing up to the challenge of providing access to fast growing collections whilst managing cuts to budgets. Key to this is the creation, linking and publishing of good quality metadata as Linked Data that will allow their collections to be discovered, accessed and disseminated in a sustainable manner. This highly practical handbook teaches you how to unlock the value of your existing metadata through cleaning, reconciliation, enrichment and linking and how to streamline the process of new metadata creation. Metadata experts Seth van Hooland and Ruben Verborgh introduce the key concepts of metadata standards and Linked Data and how they can be practically applied to existing metadata, giving readers the tools and understanding to achieve maximum results with limited resources. Readers will learn how to critically assess and use (semi-)automated methods of managing metadata through hands-on exercises within the book and on the accompanying website. Each chapter is built around a case study from institutions around the world, demonstrating how freely available tools are being successfully used in different metadata contexts. This handbook delivers the necessary conceptual and practical understanding to empower practitioners to make the right decisions when making their organisations resources accessible on the Web. Key topics include: - The value of metadata Metadata creation – architecture, data models and standards - Metadata cleaning - Metadata reconciliation - Metadata enrichment through Linked Data and named-entity recognition - Importing and exporting metadata - Ensuring a sustainable publishing model. Readership: This will be an invaluable guide for metadata practitioners and researchers within all cultural heritage contexts, from library cataloguers and archivists to museum curatorial staff. It will also be of interest to students and academics within information science and digital humanities fields. IT managers with responsibility for information systems, as well as strategy heads and budget holders, at cultural heritage organisations, will find this a valuable decision-making aid.

Linked Data

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Author : Tom Heath
language : en
Publisher: Springer Nature
Release Date : 2022-05-31

Linked Data written by Tom Heath and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-31 with Mathematics categories.

Linked Data Visualization

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Author : Laura Po
language : en
Publisher: Springer Nature
Release Date : 2022-05-31

Linked Data Visualization written by Laura Po and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-31 with Mathematics categories.

Linked Data (LD) is a well-established standard for publishing and managing structured information on the Web, gathering and bridging together knowledge from different scientific and commercial domains. The development of Linked Data Visualization techniques and tools has been followed as the primary means for the analysis of this vast amount of information by data scientists, domain experts, business users, and citizens. This book covers a wide spectrum of visualization issues, providing an overview of the recent advances in this area, focusing on techniques, tools, and use cases of visualization and visual analysis of LD. It presents the basic concepts related to data visualization and the LD technologies, the techniques employed for data visualization based on the characteristics of data techniques for Big Data visualization, use tools and use cases in the LD context, and finally a thorough assessment of the usability of these tools under different scenarios. The purpose of this book is to offer a complete guide to the evolution of LD visualization for interested readers from any background and to empower them to get started with the visual analysis of such data. This book can serve as a course textbook or a primer for all those interested in LD and data visualization.

Linked Data

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Author : Glen Hart
language : en
Publisher: CRC Press
Release Date : 2016-04-19

Linked Data written by Glen Hart and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-19 with Computers categories.

Linked Data opens up structured data from databases to be searched and queried via the web, and a geographic element is increasingly being used to link to those data. This book helps you understand how to organize and describe data that includes geographic content and how to publish it as Linked Data for the Semantic Web, as well as explaining the benefits of doing so. In easy-to-understand terms, it equips you with the knowledge you need to think about Geographic Information through the lens of the Semantic Web.

Linked Data Courseware

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Author : Fabienne Mouris
language : en
Publisher: Van Haren
Release Date : 2023-10-25

Linked Data Courseware written by Fabienne Mouris and has been published by Van Haren this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-25 with Architecture categories.

Unlock the potential of Linked Data with our comprehensive courseware, designed for professionals and researchers keen on mastering data management, semantic web, and data interoperability. Tailored for diverse audiences, our course caters to: IT Professionals: Ideal for software developers, data managers, and system architects looking to integrate Linked Data into modern information systems. Data Scientists and Analysts: Perfect for individuals aiming to link data and extract insights from diverse sources using semantic technologies. Information Specialists: Librarians, information managers, and archivists interested in enhancing information searches and sharing cultural heritage using Linked Data. Researchers: Academics spanning various fields who wish to share data and establish connections between research outcomes. Students: Suited for students of computer science, information sciences, and related disciplines, seeking to enhance their knowledge of Linked Data for future careers. Organizational Data Managers: Individuals responsible for managing and integrating data within organizations, aiming to grasp Linked Data concepts for seamless data integration. Policymakers and Innovation Managers: Intended for those keen on understanding how Linked Data contributes to innovation, data sharing among organizations, and deriving value from data. In this engaging course, participants will: Understand Linked Data and Semantic Web: Explore the basics of RDF, URIs, and triple stores, and comprehend how they function in the realm of Linked Data. Create and Publish RDF Data: Learn to create simple RDF data and understand the methods for publishing and consuming it effectively. Master SPARQL for Semantic Queries: Delve into SPARQL, gaining the ability to conduct basic and complex semantic searches, enhancing your data querying skills. Real-world Applications of Linked Data: Discover practical applications across domains such as media, healthcare, government, and more, understanding the advantages of Linked Data for data interoperability. Hands-on Workshops and Networking: Engage in practical workshops, create RDF data with OSDE, publish it online, and explore the future trends in Linked Data, including rich snippets and graph data science. Join us in this enriching learning journey where you'll grasp the intricacies of Linked Data, empowering yourself with valuable skills for the evolving digital landscape. Enroll now and step into the future of data integration and semantic web technologies.

Linked Data

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