A Role for Semantic Web Technologies in Patient Record Data Collection



Business Process Management Systems (BPMS) are a component of the stack of Web standards that comprise Service Oriented Architecture (SOA). Such systems are representative of the architectural framework of modern information systems built in an enterprise intranet and are in contrast to systems built for deployment on the larger World Wide Web. The REST architectural style is an emerging style for building loosely coupled systems based purely on the native HTTP protocol. It is a coordinated set of architectural constraints with a goal to minimize latency, maximize the independence and scalability of distributed components, and facilitate the use of intermediary processors.Within the development community for distributed, Web-based systems, there has been a debate regarding themerits of both approaches. In some cases, there are legitimate concerns about the differences in both architectural styles. In other cases, the contention seems to be based on concerns that are marginal at best. In this chapter, we will attempt to contribute to this debate by focusing on a specific, deployed use case that emphasizes the role of the Semantic Web, a simple Web application architecture that leverages the use of declarative XML processing, and the needs of a workflow system. The use case involves orchestrating a work process associated with the data entry of structured patient record content into a research registry at the Cleveland Clinic’s Clinical Investigation department in the Heart and Vascular Institute.


Resource Description Framework Service Orient Architecture Simple Object Access Protocol SPARQL Query Business Process Execution Language 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Berners-Lee T, Hendler J, Lassila O: The Semantic Web. Scientific American 284(5):34–43, 2001.CrossRefGoogle Scholar
  2. 2.
    Bizer C, Heath T, Berners-Lee T:Linked Data–The Story So Far. International Journal on Semantic Web and Information Systems 5(3):1–22, 2009.CrossRefGoogle Scholar
  3. 3.
    Connolly C: Gleaning Resource Descriptions from Dialects of Languages (GRDDL). W3C Candidate Recommendation, 2007.Google Scholar
  4. 4.
    Decker S, Melnik S, Van Harmelen F, Fensel D, Klein M, Broekstra J, Erdmann M, Horrocks I. The Semantic Web: The roles of XML and RDF. IEEE Internet computing 4(5):63–73, 2000.CrossRefGoogle Scholar
  5. 5.
    Eder J (2009) Workflow Management and Workflow Management System. In Ling L, Tamer O (eds) Encyclopedia of Database Systems.Google Scholar
  6. 6.
    Fielding R, Gettys J, Mogul J, Frystyk H,Masinter L, Leach P, and Berners-Lee T. RFC2616: Hypertext Transfer Protocol–HTTP/1.1. RFC Editor United States, 1999.Google Scholar
  7. 7.
    Fielding R. Representational State Transfer (REST). Chapter 5 in Architectural Styles and the Design of Network–based Software Architectures. Ph. D. Thesis, University of California, Irvine, CA, 2000.Google Scholar
  8. 8.
    Hayes P. RDF Model Theory. Technical report, W3C Recommendation, February 2004.Google Scholar
  9. 9.
    Hayes P, and Halpin H. In Defense of Ambiguity. International Journal on Semantic Web and Information Systems 4(2):1–18, 2008.CrossRefGoogle Scholar
  10. 10.
    Huynh D, Karger D, and Miller R. Exhibit: Lightweight Structured Data Publishing. In Proceedings of the 16th international conference on World Wide Web, page 746. ACM, 2007.Google Scholar
  11. 11.
    Kindberg T, Hawke S. The tag URI Scheme. 2005.Google Scholar
  12. 12.
    Lloyd J. Practical Advantages of Declarative Programming. In Joint Conference on Declarative Programming, GULP-PRODE, volume 94, 1994.Google Scholar
  13. 13.
    Mankovski S (2009) Service Oriented Architecture. In Ling L, Tamer O (eds) Encyclopedia of Database Systems.Google Scholar
  14. 14.
    Ogbuji C (2009) Clinical Data Acquisition, Storage and Management. In Ling L, Tamer O (eds) Encyclopedia of Database Systems.Google Scholar
  15. 15.
    Ogbuji U, Ogbuji C. Develop Python/XML with 4Suite, Part 5: The Repository Features., 2002.
  16. 16.
    Olsen L, Aisner D, and McGinnis J. The Learning Healthcare System: Workshop Summary. Natl Academy Pr, 2007.Google Scholar
  17. 17.
    Pautasso C, Wilde E. Why is the Web Loosely Coupled?: A Multi-faceted Metric for Service Design. In Proceedings of the 18th international conference on World Wide Web, pages 911–920. ACM, 2009.Google Scholar
  18. 18.
    Pautasso C, Zimmermann O, Leymann F. RestfulWeb Services vs. BigWeb Services:Making the Right Architectural Decision. In Proceeding of the 17th international conference onWorld Wide Web, pages 805–814. ACM, 2008.Google Scholar
  19. 19.
    Thompson H. Web Architecture and Naming for Knowledge Resources. Large-Scale Knowledge Resources. Construction and Application, pages 334–343.Google Scholar
  20. 20.
    Wil P, van der A (2009) Business Process Execution Language. In Ling L, Tamer O (eds) Encyclopedia of Database Systems.Google Scholar
  21. 21.
    Vinoski S. Putting the Web into Web Services: Interaction Models, Part 2. IEEE Internet Computing 6(4):90–92, 2002.CrossRefGoogle Scholar
  22. 22.
    Vinoski S. Serendipitous Reuse. Distributed Systems Online, 2008.Google Scholar
  23. 23.
    Wohlstadter E (2009) SOAP. In Ling L, Tamer O (eds) Encyclopedia of Database SystemsGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  1. 1.Cleveland ClinicClevelandUSA

Personalised recommendations