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Linked Data: Structured Data On The Web

Linked Data: Structured Data On The Web

          
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About the Book

Linked Data presents practical techniques for using Linked Data on the Web via familiar tools like JavaScript and Python. You'll work step-by-step through examples of increasing complexity as you explore foundational concepts such as HTTP URIs, the Resource Description Framework (RDF) and the SPARQL query language. Then you'll use various Linked Data document formats to create powerful Web applications and mashups.

About the Author

David Wood is co-chair of the W3C's RDF Working Group. Marsha Zaidman served as CS chair at University of Mary Washington. Luke Ruth is a Linked Data developer on the Callimachus Project. Michael Hausenblas led the Linked Data Research Centre



Table of Contents:
Part 1 The Linked Data Web 1 Introducing Linked Data 1.1 Linked Data defined 1.2 What Linked Data won’t do for you 1.3 Linked Data in action 1.4 The Linked Data principles 1.5 The Linking Open Data project 1.6 Describing data 1.7 RDF: a data model for Linked Data 1.8 Anatomy of a Linked Data application 1.9 Summary 2 RDF: the data model for Linked Data 2.1 The Linked Data principles extend RDF 2.2 The RDF data model 2.3 RDF vocabularies 2.4 RDF formats for Linked Data 2.5 Issues related to web servers and published Linked Data 2.6 File types and web servers 2.7 When you have limited control over Apache 2.8 Linked Data platforms 2.9 Summary 3 Consuming Linked Data 3.1 Thinking like the Web 3.2 How to consume Linked Data 3.3 Tools for finding distributed Linked Data 3.4 Aggregating Linked Data 3.5 Crawling the Linked Data Web and aggregating data 3.6 Summary Part 2 Taming Linked Data 4 Creating Linked Data with FOAF 4.1 Creating a personal FOAF profile 4.2 Adding more content to a FOAF profile 4.3 Publishing your FOAF profile 4.4 Visualization of a FOAF profile 4.5 Application: linking RDF documents using a custom vocabulary 4.6 Summary 5 SPARQL-querying the Linked Data Web 5.1 An overview of a typical SPARQL query 5.2 Querying flat RDF files with SPARQL 5.3 Querying SPARQL endpoints 5.4 Types of SPARQL queries 5.5 SPARQL result formats (XML, JSON) 5.6 Creating web pages from SPARQL queries 5.7 Summary Part 3 Linked Data in the wild 6 Enhancing results from search engines 6.1 Enhancing HTML by embedding RDFa 6.2 Embedding RDFa using the GoodRelations vocabulary 6.3 Embedding RDFa using the schema.org vocabulary 6.4 How do you choose between using schema.org or GoodRelations? 6.5 Extracting RDFa from HTML and applying SPARQL 155 6.6 Summary 7 RDF database fundamentals 7.1 Classifying RDF databases 7.2 Transforming spreadsheet data to RDF 7.3 Application: collecting Linked Data in an RDF database 7.4 Summary 8 Datasets 8.1 Description of a Project 8.2 Documenting your datasets using VoID 8.3 Sitemaps 8.4 Linking to other people’s data 8.5 Examples of using owl:sameAs to interlink datasets 8.6 Joining Data Hub 8.7 Requesting outgoing links from DBpedia to your dataset 8.8 Summary Part 4 Pulling it all together 9 Callimachus: a Linked Data management system 9.1 Getting started with Callimachus 9.2 Creating web pages using RDF classes 9.3 Creating and editing class instances 9.4 Application: creating a web page from multiple data sources 9.5 Summary 10 Publishing Linked Data-a recap 10.1 Preparing your data 10.2 Minting URIs 10.3 Selecting vocabularies 10.4 Customizing vocabulary 10.5 Interlinking your data to other datasets 10.6 Publishing your data 10.7 Summary 11 The evolving Web 11.1 The relationship between Linked Data and the Semantic Web 11.2 What’s coming 11.3 Conclusion


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Product Details
  • ISBN-13: 9789351194002
  • Publisher: Dreamtech Press
  • Binding: Paperback
  • No of Pages: 300
  • ISBN-10: 9351194000
  • Publisher Date: 2014
  • Language: ENGLISH

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