Sentence examples for schema version from inspiring English sources

This guarantees ontology-mediated queries to correctly retrieve data from the most recent schema version as well as correctness in historical queries.

The repository automatically generates and publishes metadata records conforming to the DataCite Medadata Schema version 4 [23].

In the latest version of CML Schema (version 3), the content model restrictions have been lifted in order to make it more flexible for creating any type of chemical documents.

Metadata is mapped internally from the Dublin Core schema used by DSpace to DataCite schema version 3.0, using a modified version of the DIM2DataCite.xsl XSLT transform (also known as a Crosswalk) originally designed for version 2.0 of the schema [25].

The within-species paralogues for each gene were retrieved via the Perl API from the VectorBase/Ensembl Compara database (7 species, schema version 54, August 2009).

a See table 1 The IDML schema version 1.0 (idml.xsd file), examples of IDML-document andocumentationon on the syntax are available at our web site.

A fundamental goal of the project design was to separate schema version-specific database query code from the data model; this is achieved by partitioning the SQL code and MyBatis data mapping rules into a hierarchy of XML configuration files in the configuration module (see Fig. 2).

Typically, these APIs do not directly address the issue of schema versioning, and many are not actively maintained.

Our current release version of JEnsembl demonstrates how we believe certain key aspects of a Java API should be addressed, in particular schema versioning and interoperability with other available Java libraries.

Databases with schema versions for which configuration details are not explicitly provided will not be made available by the Registry, thus avoiding incompatibility with unsupported older releases or newer releases that post-date the API code and that have not yet been mapped.

Stallard (2007) tested a 12-schema version of the SQC and was able to discriminate whether the participating child/teenager belonged to a non-clinical (n = 46, ages 11 16) or clinical sample (n = 53, ages 9 18).