New York City and Baltimore Semantic Web Meetups 20130221/20120226
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The document discusses the development and implementation of linked data technologies in managing and aggregating clinical trial information through the Callimachus project. It highlights the use of persistent URLs (PURLs) to create a coordinated view of information scattered across different sources, enhancing data usability for researchers. Challenges in user experience related to distributed queries and endpoint performances are acknowledged, along with potential solutions for improving system efficiency.
New York City and Baltimore Semantic Web Meetups 20130221/20120226
- 2. Discount code: 13ldev at manning.com
- 3. Our Rapidly Changing Internet 35 hours of video uploaded per minute 51% of Internet traffic is non-human >2.3 billon Internet users, >1 billion in Asia
- 6. 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
- 11. 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. Luke Ruth is a Linked Data developer supporting the Callimachus Project (http://callimachusproject.org). Michael Hausenblas is Chief Data Engineer at MapR. He formerly led the Linked Data Research Centre in Galway, Ireland.
- 14. Linked Data about the book!
- 15. The first chapter is free
- 16. 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
- 18. Success Criteria
- 19. Success Criteria • Sell 100 copies in MEAP in one month
- 20. Success Criteria • Sell 100 copies in MEAP in one month • 598 copies in one month
- 21. Success Criteria • Sell 100 copies in MEAP in one month • 598 copies in one month • Lots of interest in Linked Data!
- 22. 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
- 23. Coding Examples Callimachus
- 24. 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
- 27. Partners Callimachus Sesame Sesame (in progress)
- 30. From EPA From Wikipedia Open Street Map
- 31. Subject Object (Predicate is defined in a template)
- 32. RDF “Describe” View Subject Predicate Object
- 36. Active PURLs for Clinical Study Aggregation David Wood1 and Tom Plasterer2 1 [email protected], [email protected] 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 3 Round Stones and AstraZeneca created a system to allow coordinated views of distributed clinical trial information. The system extended the Callimachus Project, 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 enable PURLs 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's network. Active PURLs were used to resolve data sources having HTTP endpoints capable of returning XML or textual results. Each information source is dynamically 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-readable versions of the data are also available. How semantic technologies help 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 distributed enterprise. Users of Linked Data can combine information from multiple sources. Subsequent publication can create a virtuous circle of positive feedback, allowing researchers, informaticists and support staff to collaboratively and distributively build a reusable knowledge base. User experience Challenges HTTP-accessible endpoints capable of returning XML or textual content Distributed queries have many known 1 Users resolve a URL that limitations, such as the introduction of provides a unique identifier for multiple single points of failure in any a clinical study, drug, chemical given PURL resolution. HTTP timeouts, or other concept managed by auth/auth errors or other network failures this system. The user may can slow or stop a pipeline from returning be presented with the URL on correctly. HTML pages, search it via full- Similarly, distributed queries can result text techniques or discover it in variant query-time performance due to via semantic search. complex network and endpoint perform- Multiple targets queried independently ance variances. Convert XML or textual results to 2 Users are presented with a RDF Proactive caching and cache manage- dynamically generated Web meant strategies can improve runtime page representing aggregated 1 performance and protect end users from clinical study information. Users User resolves a single URI to an Render RDF to HTML via template the limitations inherent in a distributed are isolated from the complex Active PURL query architecture. Caching of and distributed information intermediate results from endpoints has environment. not yet been implemented. References Next steps
- 37. ✔ DocBook 5 ✔ XHTML 5 ✔ ePub 3 Credit: Bradley P. Allen, Elsevier Labs
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