PubMed · 15293658
The source did not provide an abstract. Follow the original record for more information.
Explore connections, maps & timelines
Michael J Ackerman. Computer briefs: wireless networking-security.. https://pubmed.ncbi.nlm.nih.gov/15293658/
Cite the original work for its findings. Save a collection to share your selection of sources.
KEEP EXPLORING
In this paper, the authors describe a methodology to transform programmatically structured reporting (SR) templates defined by the Digital Imaging and Communications for Medicine (DICOM) standard into an XML schema representation. Such schemas can be used in the creation and validation of XML-encoded SR documents that use templates. Templates are a means to put additional constraints on an SR document to promote common formats for specific reporting applications or domains. As the use of templates becomes more widespread in the production of SR documents, it is important to ensure validity of such documents. The work described in this paper is an extension of the authors' previous work on XML schema representation for DICOM SR. Therefore, this paper inherits and partially modifies the structure defined in the earlier work.
Explore the source record for details and available documents.
Query Integrator System (QIS) is a database mediator framework intended to address robust data integration from continuously changing heterogeneous data sources in the biosciences. Currently in the advanced prototype stage, it is being used on a production basis to integrate data from neuroscience databases developed for the SenseLab project at Yale University with external neuroscience and genomics databases. The QIS framework uses standard technologies and is intended to be deployable by administrators with a moderate level of technological expertise: It comes with various tools, such as interfaces for the design of distributed queries. The QIS architecture is based on a set of distributed network-based servers, data source servers, integration servers, and ontology servers, that exchange metadata as well as mappings of both metadata and data elements to elements in an ontology. Metadata version difference determination coupled with decomposition of stored queries is used as the basis for partial query recovery when the schema of data sources alters.