Sentence examples for two schema from inspiring English sources

Instance-level matchers use statistics, metadata, or trained classifiers to decide if the values of two schema elements match.

SemanticTyper is an instance-level schema matcher that collects statistical information about the data based on their type and decides if two schema elements match.

In contrast to the evolution of contributions at the two schema layers (Section 5.2.2), the evolution of the collaboration structures at these intermediate layers shows broader variance.

The growing contributor ratios at the two schema layers during the last four years show that there is a tendency of increasing adoption.

It is linguistics-based and measures the similarity between two schema elements based on their textual descriptions retrieved from an external schema dictionary [44].

However, we particularly refer to the two schema layers in Fig. 3 (Additional file 3) as participation-enabling layers, since these are means to enable direct participation of domain experts in tasks that traditionally required technical programming knowledge.

It discusses some theorems that can help decide whether or not two schemas are equivalent.

Then, we employ two scoring functions to measure the similarities between collected statistics of two schemas to be matched.

The same theory can be obtained by extending EM with (P.152) instead, for in the presence of extensionality the two schemas are equivalent.

Data exchange is the problem of taking data structured under a source schema and creating an instance of a target schema, by following a mapping between the two schemas.

A sound designer proposed several non-speech sound signals based on two schemas: a pair of sounds for the orientation and confirmation functions, and a timeline sequence for the remaining distance.