Discount code: 13ldev

at manning.com

Our Rapidly Changing Internet

35 hours of videouploaded per minute

51% of Internet trafficis non-human

>2.3 billon Internet users,>1 billion in Asia

08 Oct 2007 07 Nov 2007 10 Nov 2007 28 Feb 2008 31 Mar 2008

18 Sep 2008 05 Mar 2009 27 Mar 2009 14 Jul 2009 22 Sep 2010

Luke Ruth is a Linked Data developer supporting the Callimachus Project (http://callimachusproject.org).

David Wood has co-founded several Open Source Software projects related to the Semantic Web, including Persistent URLs, Mulgara and the Callimachus Project. He is co-chair of the W3C’s RDF Working Group.

Marsha Zaidman is Associate Professor Emerita of Computer Science at the University of Mary Washington.

Michael Hausenblas is Chief Data Engineer at MapR. He formerly led the Linked Data Research Centre in Galway, Ireland.

http://www.manning.com/dwood/

Linked Data about the

book!

The first chapter is free

Manning Early Access Program (MEAP)

• Concept:

• Give away the first chapter

• Sell a low-resolution PDF to early readers

• Readers get PDF updates and a print copy when it becomes available

Author Forumhttp://www.manning-sandbox.com/forum.jspa?forumID=838

Success Criteria

Success Criteria

• Sell 100 copies in MEAP in one month

Success Criteria

• Sell 100 copies in MEAP in one month

• 598 copies in one month

Success Criteria

• Sell 100 copies in MEAP in one month

• 598 copies in one month

• Lots of interest in Linked Data!

What’s Inside

• What Linked Data is

• Find Linked Data you can reuse

• Use Linked Data in your applications

• Create your own Linked Data

• Build Linked Data applications using standard Web techniques

Coding Examples

Callimachus

1. Linked Data to the rescue Available

2. RDF - the data model for Linked Data Available

3. Consuming Linked Data Available

4. Creating Linked Data Available

5. Querying Linked Data Available

6. Enhancing results from search engines Available

7. Collecting Linked Data Available

8. Datasets Completed

9. Callimachus - a Linked Data management system In draft

10. Building a read-write Linked Data application In draft

Callimachushttp://callimachusproject.org

http://3roundstones.com

Callimachus

Partners

Sesame

Sesame(in progress)

From WikipediaFrom EPA

Open Street Map

Subject

Object(Predicate is defined in a template)

RDF  “Describe”  View

Subject

Predicate Object

HTTP-accessible endpoints capable of returning XML or textual content

Convert XML or textual results to RDF

Render RDF to HTML via templateUser resolves asingle URI to anActive PURL

Multiple targets queriedindependently

1

David Wood1 and Tom Plasterer21david@3roundstones.com, 2Tom.Plasterer@astrazeneca.com

Active PURLs for Clinical Study Aggregation

The problem: No coordinated view of clinical study information. Information is distributed across departments, subsidiaries and government data sources.

The solution: Gather, convert, aggregate and format for display

Challenges

Next steps

How semantic technologies help

3 Round Stones and AstraZeneca created a system to allow coordinated views of distributed clinical trial information. The system extended the CallimachusProject, an Open Source management system for Linked Data. Persistent URLs, or PURLs, were used to provide globally unique and resolvable identifiers for each clinical study. The PURL concept was extended to enablePURLs to have multiple targets and for the results of each target to undergo arbitrary transformation. PURLs which have such capabilities are called Active PURLs. Information sources relevant to clinical studies were identified, regardless of whether their location was internal or external to the pharmaceutical company'snetwork. Active PURLs were used to resolve data sources having HTTP endpoints capable of returning XML or textual results. Each information source isdynamically transformed into Resource Description Framework (RDF) formats and all sources' results then merged into a single, temporary graph of RDF data.Information is rendered to end users as coordinated HTML descriptions regarding each clinical trial using the Callimachus template engine. Machine-readableversions of the data are also available.

Linked Data techniques can help to address both the availability of clinical trial information and provide a means to build effective information systems using it.Linked Data techniques allow for "cooperation without coordination". Publishers of data provide context for use by third parties in other portions of a distributedenterprise. Users of Linked Data can combine information from multiple sources. Subsequent publication can create a virtuous circle of positive feedback, allowingresearchers, informaticists and support staff to collaboratively and distributively build a reusable knowledge base.

Distributed queries have many knownlimitations, such as the introduction ofmultiple single points of failure in anygiven PURL resolution. HTTP timeouts,auth/auth errors or other network failurescan slow or stop a pipeline from returningcorrectly. Similarly, distributed queries can resultin variant query-time performance due tocomplex network and endpoint perform-ance variances. Proactive caching and cache manage-meant strategies can improve runtimeperformance and protect end users fromthe limitations inherent in a distributedquery architecture. Caching ofintermediate results from endpoints hasnot yet been implemented.

We intend to continue to addressReferences

1. Callimachus Project,

User experience

Users resolve a URL thatprovides a unique identifier fora clinical study, drug, chemicalor other concept managed bythis system. The user maybe presented with the URL onHTML pages, search it via full-text techniques or discover itvia semantic search.

1

2 Users are presented with adynamically generated Webpage representing aggregatedclinical study information. Usersare isolated from the complexand distributed informationenvironment.

Credit: Bradley P. Allen, Elsevier Labs

XHTML 5

DocBook 5

ePub 3

✔

✔

✔

http://www.manning.com/dwood/

Discount code: 13ldev

at manning.com