Sentence examples for semantic comparisons from inspiring English sources

In previous work on PhenoDigm, we have shown that the manually curated OMIM HP annotations can be used in cross-species semantic comparisons to mouse mutant phenotypes annotated using the Mammalian Phenotype Ontology (MP) (6).

The representation of ontologies in RDFS or OWL provides additional advantages, namely, novel interpretations of the existing data against the ontological knowledge enabled by the mapping of data elements in RDF representation ('instances') to the ontological concepts ('classes' or 'types'); and more detailed semantic comparisons of concepts that exploit the expressiveness of these formats [ 27].

Semantic comparison shows large differences, with closest relations found between the two conventional profiles.

Keeping this view in mind, an integration strategy based on the concept of structural comparison and semantic comparison of schema is proposed.

The literature, however, takes it for granted that Fuzzy Cognitive Maps allow for a simple aggregation of domain knowledge from several experts without much considering holistic approaches with semantic comparison of concepts.

It automatically checks words, including a semantic comparison for related types of terms.

Semantic comparison (10), not to be confused with semantic classification, was examined by conducting three magnitude comparison tasks (via computer) concerning animals, number words, and Arabic digits.

The visual matching tasks, semantic classification, semantic comparison, and morpho-lexical knowledge were conducted on a laptop computer (Panasonic tough book) with a 14.1 inches screen.

The caDSR also provides runtime access to metadata that can be used to satisfy a variety of discovery, semantic comparison, and data validation use cases.

In line with our main hypothesis I, our findings revealed a declining degree of numerical advantages with increasing semantic load of the tasks (especially for the hidden objects tasks, automatized sequences, repetition, semantic classification, and semantic comparison).

This very complex computer paradigm was described in more detailed in the Additional file 1. Semantic classification, semantic comparison, and fact retrieval belonged to the third group of tasks (semantic processing of numbers vs. words).