Semantically Interoperable XML Data

• Authors: Cristobal Vergara-Niedermayr, Oracle; Fusheng Wang, Emory University; Tony Pan, Emory University; Tahsin Kurc, Emory University; Joel Saltz, Emory University
• Journal Title: International Journal of Semantic Computing
• Volume: Volume 07, Number 03
• Publisher: World Scientific Publishing | 2013-09, Pages 237-255
• Type of Work: Article | Post-print: After Peer Review
• Publisher DOI: http://doi.org/10.1142/S1793351X13500037
• Subjects: Computer Science; Biology, Bioinformatics
• Keywords: Biomedical Data Management; XML Database; Data Integration; Semantic Interoperability

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.