Sentence examples for semantic transformations from inspiring English sources

We propose to use a combination of these three formalisms to clearly define 3D objects workflows and also geometric and semantic transformations they undergo during the entire process to meet requirements (Fig. 6 left hand side).

For example, they cannot perform semantic transformations such as converting a gene list to the list of pathways the genes act in.

Afterward, the EER model will be mapped to an XML Schema Definition Language XSDD) Graph as an XML conceptual schema using Semantic Transformation.

While we imagine that alternative data representations,such as the JavaScript Object Notation (JSON), may be used in this context forefficient data exchange we do not foresee the development tools for powerfulvalidation and semantic transformation that motivate the use of XML, as discussedbelow.

7. Grounding and semantic transformation definition.

The need for such semantic transformation might have been identified during the Reference ontology mapping activity.

The Lifting functional blocks is also responsible for implementing any required semantic transformation of the concepts according to the equivalence relations specified in the Grounding and semantic transformation definition activity.

In cases 2 and 3, the definition of of semantic equivalence rules is required (see activity Grounding and semantic transformation definition).

The requirements for the implementation of each functional block can be identified based on the information produced by the Interest data detailed description, Grounding and semantic transformation definition and Access policy identification activities.

During the specification of the lifting and lowering operations, we need to identify and represent any semantic transformation between consumed data conceptual model elements and reference ontology elements as well as between reference ontology elements and produced data conceptual model elements that might be necessary.

Our approach is used to automatically generate adjoint code for numerical programs by semantic source transformation.