Semantic Web-Based Information Systems: State-of-the-Art ...

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Distributed Patient Identification Protocol 253 vices in the healthcare domain. Information Systems Journal. Eichelberg, M., Aden, T., & Riesmeier, J. (2004). Relevant electronic healthcare record standards and protocols for accessing medical information (ARTEMIS deliverable D5.1.1). Oldenburg, Germany: ARTEMIS Consortium. Eichelberg, M., Poiseau, E., Wein, B. B., & Riesmeier, J. (2003). IHE Europe: Extending the IHE initiative to the European health care market. In H. K. Huang, & O. M. Ratib (Eds.), Medical imaging 2003: PACS and integrated medical information systems: Design and evaluation (Vol. 5033, pp. 1-10). Gong, L. (2002). Project JXTA: A technology overview (Technical report). Palo Alto, CA: Sun Microsystems, Inc. HL7. (2003). Application protocol for electronic data exchange in health care environments (Version 2.5) (ANSI Standard). Ann Arbor, MI: Health Level Seven. IHE. (2004). IT infrastructure technical framework revision 1.1 (Technical Report). Oak Brook, IL: Integrating the Healthcare Enterprise. ISO. (1999a). Information processing: 8-bit single-byte coded graphic character sets. Part 13: Latin alphabet No. 9 (International Standard No. 8859-13). Geneva, Switzerland: International Organization for Standardization. ISO. (1999b). Information processing: 8-bit single-byte coded graphic character sets. Part 1: Latin alphabet No. 1 (International Standard No. 8859-1). Geneva, Switzerland: International Organization for Standardization. Jaro, M. A. (1989). Advances in record linkage methodology as applied to matching the 1985 census of Tampa, Florida. Journal of the American Statistical Association, 84(406), 414-420. Krieg, V., Hense, H.-W., Lehnert, M., & Mattauch, V. (2001). Record linage mit kryptographierten Identitätsdaten in einem bevölkerungsbezogenen Krebsregister. Gesundheitswesen, 63, 376-382. NEMA. (2004). Digital imaging and communications in medicine (DICOM) (NEMA Standards Publication No. PS 3.x–2004). Rosslyn, VA: National Electrical Manufacturers Association. Postel, H.-J. (1969). Die Kölner Phonetik — Ein Verfahren zur Identifizierung von Personennamen auf der Grundlage der Gestaltanalyse. IBM-Nachrichten, 19, 925-931. The chapter was previously published in the International Journal on Semantic Web & Information Systems, 1(4), 24-43, October-December 2005. Copyright © 2007, Idea Group Inc. Copying or distributing in print or electronic forms without written permission of Idea Group Inc. is prohibited.
Shabo & Hughes Chapter.XI Family.History.Information. Exchange.Services. Using.HL7.Clinical. Genomics.Standard. Specifications Amnon Shabo (Shvo), IBM Research Lab, Ha fa Kev n S. Hughes, Massachusetts General Hosp tal, Partners Health Care, USA Abstract A number of family history applications are in use by health care professionals (e.g., CAGENE, Progeny, Partners Health care Family History Program) as well as by patients (e.g., the U.S. Surgeon General’s Family History Program). Each has its own proprietary data format for pedigree drawing and for the maintenance of family history health information. Interoperability between applications is essentially non-existent. To date, disparate family history applications cannot easily exchange patient information. The receiving application should be able to understand the semantics of the incoming family history and enable the user to view and/or to edit it using the receiving applications interface. We envision that any family history application will be able to send and receive an individual’s family history informa- Copyright © 2007, Idea Group Inc. Copying or distributing in print or electronic forms without written permission of Idea Group Inc. is prohibited.
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Semantic Web-Based Information Syst
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Semantic Web-Based Information Syst
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Chapter.VIII Querying.the.Web.Recon
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the semantics in the Semantic Web.
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the conventional Web, and the emerg
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Chapter.I Semant cs for the Semant
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Semant cs for the Semant c Web and
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Semant cs for the Semant c Web •
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Semant cs for the Semant c Web reas
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Semant cs for the Semant c Web simi
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Semant cs for the Semant c Web in t
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Entity Identification/Disambiguatio
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Question Answering Systems Semant c
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Semant cs for the Semant c Web The
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Semant cs for the Semant c Web Dubo
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Semant cs for the Semant c Web Shet
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The Human Semant c Web tion between
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The Human Semant c Web Figure 2. Th
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• Databases with entry-portals
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The Human Semant c Web • Knowledg
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Conceptual.Modeling The Human Seman
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The Human Semant c Web in relations
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The Human Semant c Web along the di
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The Human Semant c Web Figure 7. Th
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The Human Semant c Web Figure 10. T
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Conceptual.Calibration The Human Se
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The Human Semant c Web Figure 12. T
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The Human Semant c Web Figure 14. S
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Figure 16. The present structure of
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The Human Semant c Web entire healt
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The Human Semant c Web If your answ
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The Human Semant c Web In the Knowl
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The Human Semant c Web ing Environm
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The Human Semant c Web Takeuchi, H.
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26 Between February 2001 and Februa
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General Adaptat on Framework • Da
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General Adaptat on Framework Proact
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General Adaptat on Framework semant
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General Adaptat on Framework Figure
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Figure 4. General Adaptation Framew
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Pilot.Implementation.of.Semantic.Ad
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Conclusion General Adaptat on Frame
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General Adaptat on Framework As men
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General Adaptat on Framework METEOR
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General Adaptat on Framework 8 Java
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Ontology Creat on Methodolog es obt
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Query ng the Web Recons dered allow
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Query ng the Web Recons dered Three
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Query ng the Web Recons dered retri
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ib {{ book {{ title { “Data on th
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About.the.Authors About the Authors
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About the Authors 0 Veli. Bicer. is
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About the Authors 0 in refereed jou
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About the Authors 0 partment (1992)
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About the Authors Anton.Naumenko.is
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About the Authors Centre and head o
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consumer-centric business model 30
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semantic e-business 214 semantic in
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