Semantically Interoperable XML Data.

Cristobal Vergara-Niedermayr, Fusheng Wang, Tony Pan, Tahsin Kurc, Joel Saltz
Author Information
  1. Cristobal Vergara-Niedermayr: Oracle, California, USA.
  2. Fusheng Wang: Center for Comprehensive Informatics, Department of Biomedical Informatics, Emory University, Atlanta, Georgia, USA.
  3. Tony Pan: Center for Comprehensive Informatics, Department of Biomedical Informatics, Emory University, Atlanta, Georgia, USA.
  4. Tahsin Kurc: Center for Comprehensive Informatics, Department of Biomedical Informatics, Emory University, Atlanta, Georgia, USA.
  5. Joel Saltz: Center for Comprehensive Informatics, Department of Biomedical Informatics, Emory University, Atlanta, Georgia, USA.

Abstract

XML is ubiquitously used as an information exchange platform for web-based applications in healthcare, life sciences, and many other domains. Proliferating XML data are now managed through latest native XML database technologies. XML data sources conforming to common XML schemas could be shared and integrated with syntactic interoperability. Semantic interoperability can be achieved through semantic annotations of data models using common data elements linked to concepts from ontologies. In this paper, we present a framework and software system to support the development of semantic interoperable XML based data sources that can be shared through a Grid infrastructure. We also present our work on supporting semantic validated XML data through semantic annotations for XML Schema, semantic validation and semantic authoring of XML data. We demonstrate the use of the system for a biomedical database of medical image annotations and markups.

Keywords

References

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Grants

  1. R01 LM009239/NLM NIH HHS
  2. P20 EB000591/NIBIB NIH HHS
  3. R24 HL085343/NHLBI NIH HHS
  4. R01 LM011119/NLM NIH HHS
  5. N01CO12400/NCI NIH HHS
  6. UL1 RR025008/NCRR NIH HHS

Word Cloud

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