Bibliograph

Linked data, structured data on the Web, David Wood, Marsha Zaidman and Luke Ruth with Michael Hausenblas

Type

Label

Linked data, structured data on the Web, David Wood, Marsha Zaidman and Luke Ruth with Michael Hausenblas

Language

eng

Bibliography note

Includes bibliographical references and index

Illustrations

illustrations

Index

index present

Literary Form

non fiction

Main title

Linked data

Nature of contents

bibliography

Oclc number

828182162

Responsibility statement

David Wood, Marsha Zaidman and Luke Ruth with Michael Hausenblas

Sub title

structured data on the Web

Summary

Linked Data is a standards-driven model for representing structured data on the Web that gives developers, publishers, and information architects a consistent, predictable way to publish, merge and consume data. It's been adopted by many well-known institutions, including Google, Facebook, IBM, Oracle, and government agencies, as well projects such as Drupal and WordPress. Linked Data presents the Linked Data model in plain, jargon-free language and offers practical techniques using everyday tools like JavaScript and Python. Step-by-step, it works through examples of increasing complexity while explaining foundational concepts such as HTTP URIs, the Resource Description Framework (RDF), and the SPARQL query language. Readers will learn to use various Linked Data document formats to create powerful Web applications and mashups, and to effectively use emerging Web standards to access, find and query structured data on the Web

Table Of Contents

Introducing Linked Data -- RDF: the data model for Linked Data -- Consuming Linked Data -- Creating Linked Data with FOAF -- SPARQL: querying the Linked Data Web -- Enhancing results from search engines -- RDF database fundamentals -- Datasets -- Callimachus: a Linked Data management system -- Publishing Linked Data : recap -- The evolving Web

Classification