W3C home > Mailing lists > Public > public-semweb-lifesci@w3.org > February 2011

Fwd: ANN: New book about Linked Data published

From: M. Scott Marshall <mscottmarshall@gmail.com>
Date: Thu, 17 Feb 2011 16:12:39 +0100
Message-ID: <AANLkTi=GbryxZiw_Kg5-_wh=+V0aUX3ymm8OsRNtyZdm@mail.gmail.com>
To: HCLS <public-semweb-lifesci@w3.org>
FYI
---------- Forwarded message ----------
From: Chris Bizer <chris@bizer.de>
Date: Thu, Feb 17, 2011 at 4:05 PM
Subject: ANN: New book about Linked Data published
To: public-lod <public-lod@w3.org>, Semantic Web
<semantic-web@w3.org>, semanticweb@yahoogroups.com


Hi all,



Tom Heath and I have been working on a book about Linked Data over the
last months. We are very happy to announce today that the PDF version
of the book is available from Morgan & Claypool Publishers.



The book gives an overview of the principles of Linked Data as well as
the Web of Data that has emerged through the application of these
principles. It discusses patterns for publishing Linked Data,
describes deployed Linked Data applications and examines their
architecture.



The book is published by Morgan & Claypool in the series Synthesis
Lectures on the Semantic Web: Theory and Technology edited by James
Hendler and Frank van Harmelen. See:



http://www.morganclaypool.com/doi/abs/10.2200/S00334ED1V01Y201102WBE001



The PDF version of the book is currently accessible to members of
organizations that have licensed the Morgan & Claypool Synthesis
Lectures collection. †In addition, the PDF version of the book can be
purchased for 30 US$ via the Morgan & Claypool website.



Within the next two weeks, the print version of the book will be
available at Amazon. A bit later, the print version will be available
via other channels and can also be ordered directly from Morgan &
Claypool.



On March 1st, 2011, we will publish a free HTML version of the book at
http://linkeddatabook.com/

We are currently still busy with producing the HTML version, so please
excuse the delay.



Please find the abstract and table of contents of the book below:



Abstract of the Book



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



1. Introduction



1.1 The Data Deluge

1.2 The Rationale for Linked Data

1.2.1 Structure Enables Sophisticated Processing

1.2.2 Hyperlinks Connect Distributed Data

1.3 From Data Islands to a Global Data Space



2 Principles of Linked Data



2.1 The Principles in a Nutshell

2.2 Naming Things with URIs

2.3 Making URIs Defererenceable

2.3.1 303 URIs

2.3.2 Hash URIs

2.3.3 Hash versus 303

2.4 Providing Useful RDF Information

2.4.1 The RDF Data Model

2.4.2 RDF Serialization Formats

2.5 Including Links to other Things

2.5.1 Relationship Links

2.5.2 Identity Links

2.5.3 Vocabulary Links

2.6 Conclusions



3 TheWeb of Data



3.1 Bootstrapping theWeb of Data

3.2 Topology of theWeb of Data

3.2.1 Cross-Domain Data

3.2.2 Geographic Data

3.2.3 Media Data

3.2.4 Government Data

3.2.5 Libraries and Education

3.2.6 Life Sciences Data

3.2.7 Retail and Commerce

3.2.8 User Generated Content and Social Media

3.3 Conclusions



4 Linked Data Design Considerations



4.1 Using URIs as Names for Things

4.1.1 Minting HTTP URIs

4.1.2 Guidelines for Creating Cool URIs

4.1.3 Example URIs

4.2 Describing Things with RDF

4.2.1 Literal Triples and Outgoing Links

4.2.2 Incoming Links

4.2.3 Triples that Describe Related Resources

4.2.4 Triples that Describe the Description

4.3 Publishing Data about Data

4.3.1 Describing a Data Set

4.3.2 Provenance Metadata

4.3.3 Licenses,Waivers and Norms for Data

4.4 Choosing and Using Vocabularies to Describe Data

4.4.1 SKOS, RDFS and OWL

4.4.2 RDFS Basics

4.4.3 A Little OWL

4.4.4 Reusing Existing Terms

4.4.5 Selecting Vocabularies

4.4.6 Defining Terms

4.5 Making Links with RDF

4.5.1 Making Links within a Data Set

4.5.2 Making Links with External Data Sources

4.5.3 Setting RDF Links Manually

4.5.4 Auto-generating RDF Links



5 Recipes for Publishing Linked Data



5.1 Linked Data Publishing Patterns

5.1.1 Patterns in a Nutshell

5.1.2 Additional Considerations

5.2 The Recipes

5.2.1 Serving Linked Data as Static RDF/XML Files

5.2.2 Serving Linked Data as RDF Embedded in HTML Files

5.2.3 Serving RDF and HTML with Custom Server-Side Scripts

5.2.4 Serving Linked Data from Relational Databases

5.2.5 Serving Linked Data from RDF Triple Stores

5.2.6 Serving RDF byWrapping Existing Application orWeb APIs

5.3 Additional Approaches to Publishing Linked Data

5.4 Testing and Debugging Linked Data

5.5 Linked Data Publishing Checklist



6 Consuming Linked Data



6.1 Deployed Linked Data Applications

6.1.1 Generic Applications

6.1.2 Domain-specific Applications

6.2 Developing a Linked Data Mashup

6.2.1 Software Requirements

6.2.2 Accessing Linked Data URIs

6.2.3 Representing Data Locally using Named Graphs

6.2.4 Querying Local Data with SPARQL

6.3 Architecture of Linked Data Applications

6.3.1 Accessing theWeb of Data

6.3.2 Vocabulary Mapping

6.3.3 Identity Resolution

6.3.4 Provenance Tracking

6.3.5 Data Quality Assessment

6.3.6 CachingWeb Data Locally

6.3.7 UsingWeb Data in the Application Context

6.4 Effort Distribution between Publishers, Consumers and Third Parties



7 Summary andOutlook



Bibliography

Authors' Biographies



We would like to thank the series editors Jim Hendler and Frank van
Harmelen for giving us the opportunity and the impetus to write this
book. Summarizing the state of the art in Linked Data was a job that
needed doing -- we are glad they asked us. It has been a long process,
throughout which Mike Morgan of Morgan & Claypool has shown the
patience of a saint, for which we are extremely grateful. Richard
Cyganiak wrote a significant portion of the 2007 tutorial How to
Publish Linked Data on the Web, which inspired a number of sections of
this book -- thank you Richard. Mike Bergman, Dan Brickley, Fabio
Ciravegna, Ian Dickinson, John Goodwin, Harry Halpin, Frank van
Harmelen, Olaf Hartig, Andreas Harth, Michael Hausenblas, Jim Hendler,
Bernadette Hyland, Toby Inkster, Anja Jentzsch, Libby Miller, Yves
Raimond, Matthew Rowe, Daniel Schwabe, Denny Vrandecic, and David Wood
reviewed drafts of the book and provided valuable feedback when we
needed fresh pairs of eyes -- they deserve our gratitude. We also
thank the European Commission for supporting the creation of this book
by funding the LATC -- LOD Around The Clock project (Ref. No. 256975).
Lastly, we would like to thank the developers of LaTeX and Subversion,
without which this exercise in remote, collaborative authoring would
not have been possible.



Have fun reading the book J



Tom Heath and Christian Bizer





--

Prof. Dr. Christian Bizer

Web-based Systems Group

Freie Universitšt Berlin

+49 30 838 55509

http://www.bizer.de

chris@bizer.de




-- 
M. Scott Marshall, W3C HCLS IG co-chair, http://www.w3.org/blog/hcls
http://staff.science.uva.nl/~marshall
Received on Thursday, 17 February 2011 15:13:13 GMT

This archive was generated by hypermail 2.3.1 : Tuesday, 26 March 2013 18:01:00 GMT