Sentence examples for models and query from inspiring English sources

This chapter is designed to review the logical models and query languages used in spatial database systems.

During previous years, research efforts had been conducted to capture temporal aspects in the form of data models and query languages [22, 23].

Though, studies like [25] and [26] provide useful insights into the comparison of NoSQL databases various other factors, such as database architectures, data models and query capabilities, could have been taken into account in the evaluation process [27].

In this article, we show how recasting this problem in a highly declarative language allows us to identify the complete family of feasible models and query them to obtain insight into model degeneracy.

In order to maximize the performance, different data models and queries should be analyzed to choose the best fit.

Data models and queries must support order and time based operations.

Fetched data are processed by the Django app 'django-tables2' (https://github.com/bradleyayers/django-tables2) that allows to create HTML-based table structures (with sorting options) directly from models and queries.

Choosing a data model and query language for provenance.

End users can use a single data model and query language.

This paper describes Trio-One's translation scheme and system architecture, showing how it efficiently and easily supports the Trio data model and query language.

This article presents a new approach to model and query the spatiotemporal data of fuzzy spatial and complex objects and/or spatial relations.