Linked Data Tools
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Linked Data Tools
Author: Karen Coyle
language: en
Publisher: American Library Association
Release Date: 2012
Resource Description and Access, and Library of Congress s commitment to a new bibliographic framework all point toward opportunities for shared, linked library data. In this issue of Library Technology Reports, Karen Coyle updates readers on the development of fundamental resources such as standards, data elements, and term lists, showing how they fit together. In clear, straightforward language, she introduces common Semantic Web terminology and acronyms, like RDF, triples, SKOS, OWL, and SPARQL, showing readers how to locate defined metadata elements on the Web. Coyle lists and describes 20 sources of general use data elements to use, from ISBD elements to Facebook s Open Graph, also describing numerous examples of topical lists suited to linking with library data, including subject lists, thesauri, and other controlled vocabularies. For developers and programmers, Coyle describes emerging tools that facilitate data element creation, validation of Semantic Web structures, link creation, and linked data searching.
Using OpenRefine
Author: Ruben Verborgh
language: en
Publisher: Packt Publishing Ltd
Release Date: 2013-09-10
The book is styled on a Cookbook, containing recipes - combined with free datasets - which will turn readers into proficient OpenRefine users in the fastest possible way.This book is targeted at anyone who works on or handles a large amount of data. No prior knowledge of OpenRefine is required, as we start from the very beginning and gradually reveal more advanced features. You don't even need your own dataset, as we provide example data to try out the book's recipes.
Linked Data
Author: Tom Heath
language: en
Publisher: Morgan & Claypool Publishers
Release Date: 2011-02-02
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