Sentence examples for representations standards from inspiring English sources

Therefore, with this work, we would like to invite the broader cheminformatics community to initiate the discussion of representations, standards, and supporting ontologies.

The absolute differences in factor scores between the sound stimuli and the major or minor onomatopoeic representations were averaged across all sound sources in each of the three factors, as shown in Table 3. Table 3 Averaged absolute differences of factor scores between real sound stimuli and "major" or "minor" onomatopoeic representations (standard deviations shown in parentheses).

The two parts of the framework are synchronized by a SCADA taxonomy described using semantic web representation standards.

It is the responsibility of the subcommittee to approve all structure representation standards, which are then implemented by programmers.

In this paper we present the results of a process aimed at assessing the needs of the community for data representation standards to guide the implementation of future repositories for biomolecular simulations.

Systems developed using the caCORE methodology use the same approach to defining, registering, and adopting data and representation standards.

Previous research efforts were mostly based on healthcare-specific representation standards and execution engines and did not reach wide adoption.

WEST uses workflow representation standards and semantic technologies to enable each tool to import workflow templates and executions in the format they need.

Unlike many existing decision support frameworks that introduce healthcare specific knowledge representation standards (for example SAGE [ 39], GLIF [ 3], ProForma [ 43] or SANDS [ 41]), our implementation relies on a cross-industry workflow technology architecture and open, well-defined XPDL standard.

The DDF criteria focus on specific topics or areas of importance (quality and consistency, currency, accessibility, output, technical documentation, data representation standards, data structure standards, user support and versioning) and have three different levels of maturity.

Combining resources from public and private repositories, either in an open infrastructure or in a clinical environment, requires data representation standards, semantic normalization and ultimately data sharing (with appropriate access control policies).