Sentence examples for representing context from inspiring English sources

I suggest that the framework for representing context could be applied by analogy to lexical representation.

To this end, representing context is a crucial issue that facilitates appropriate information retrieval and understanding.

Besides feature models for DSLPs, this approach uses additional models for representing system context, architecture and reasoning (i.e., configuration selection), while we instead appeal to a unified model for representing context, architecture and reasoning.

Elements in any model representing context at the system end of the system instance continuum are therefore only 'potentially' semiotic, and developing a description of what may be potentially relevant to language-in-use seems like an impossible task.

A typical way of representing context is to model it paradigmatically, i.e. as a system network of options, which aims to achieve a description of the potential conditions of relevant contextual (or social) relations for language in use, those conditions which have the potential to "make a difference" to the language that is involved [cf. (Butt D.: Parameters of context, unpublished): 6].

As a whole, the methods tended to be weakest at representing context and on usability in terms of the resources required (expertise, analytic time) to apply the methods.

In this paper, we address these challenges by proposing a set of conceptual models designed to support the software engineering process, including context modelling techniques, a preference model for representing context-dependent requirements, and two programming models.

These approaches include the Arden Syntax for Medical Logic Modules, which is a formalism for representing context-inclusive medical knowledge that is supported by several commercial EHR systems [ 42].

The most important aspects of the output of this stage are subsections, representing contexts of object concepts, and segment annotations within each subsection.

Four provinces (Shandong, Zhejiang, Anhui, and Ningxia) representing contexts with varying levels of socioeconomic status (SES) were purposively selected as research areas.

This has important implications for understanding the N/M170 and investigating how the brain represents context to generate perceptual predictions.