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AsterixDB has a flexible data model and query language (AQL) for describing, querying, and analysing semi-structured data [13].
This article presents a new approach to model and query the spatiotemporal data of fuzzy spatial and complex objects and/or spatial relations.
Indeed, the enforcement approaches defined for RDBMSs rely on the presence of the relational model and SQL as unique data model and query language.
In particular, the mapping rules, as well as the data model and query model for the integrated databases have to cope with poor data quality in local databases, ongoing local database updates and instance heterogeneities.
Different from RDBMSs, characterized by a standard reference data model and query language, a variety of proprietary query languages have been proposed for NoSQL datastores, as well as different data models have been introduced for them.
In light of the current rapid expansion of critically needed programs targeted at health disparities in minority populations, we have designed and are testing an "logic model plus" evaluation model that combines classic logic model and query based evaluation designs (CDC, NIH, Kellogg Foundation) with advances in community engaged designs derived from industry–university partnership models.
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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.
Graph databases handle the loads with far more ease as they model, store and query the data.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com