Sentence examples for between models and languages from inspiring English sources

Mappings between models and languages are essential to support model driven approaches to software development.

Consequently, while the syntax of model representations may never be combined in a single uniform format, their underlying ontological commitment may provide a means for achieving genuine interoperability and integration between models and modelling languages.

The automated translation of data between the data models and languages used by information ecosystems built around official or de facto standards is best addressed using model-driven engineering techniques, but requires handling both data and multiple levels of metadata within a single model.

This paper discusses links that may be made between process models and Unified Modelling Language (UML) software specification techniques, working from an argument that the whole complexity of organisational activity cannot be captured by UML alone.

This activity is decomposed into the following five functions: Define ***meta-models, Validate the meta-model, Investigate and define the relations between the enterprise modelling languages, and Validate unified meta-model.

In this paper we represent a well-known RBAC model with software engineering tools such as Unified Modeling Language (UML) and Object Constraints Language (OCL) to reduce a gap between security models and system developments.

As a graduate student, I wrote a long paper connecting the dots between mathematical models of learning and language development in children.

Table 2 shows the comparison between the average perplexities of the bigram-PLSA model and other language models.

Additional models including interaction terms between migration background and language region or period showed no remarkable differences.

This research leverages the inherent synergy between structured modeling and the eXtensible Markup Language (XML) to facilitate model sharing and reuse in a distributed environment.

I then built an intellectual framework that can understand language for expressing movement by learning the correspondence between bodily motions and language expressions via a statistical model.