Sentence examples for numerous database from inspiring English sources

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Attribute-level schema matching is a critical step in numerous database applications, such as DataSpaces, Ontology Merging and Schema Integration.

Even though numerous database systems are available, the relational database (RDB) is often used to store and query the content of XML documents.

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The result is a lot of data, but those data are scattered in numerous databases that are organised and maintained in diverse ways by various research teams.An additional complication is that the decodings usually take the form of expressed-sequence tags (ESTs), which are merely short pieces of genetic information, rather than full transcripts of genes.

Numerous databases (MEDLINE, PubMed, Embase, Google Scholar) were searched, 17 studies consisting of 1,008 patients with distal fibular fractures treated with intramedullary fixation were found.

However, the heterogeneous nature of these data and their widespread distribution over journal articles, patents and numerous databases makes searching and pattern discovery a tedious and manual task.

There are numerous databases of material properties and analytical methods for selecting materials but these are mainly aimed at technical design.

Health attributes connected to usernames (which, in turn, can often be linked to real identities) could have spread into numerous databases.

For example, existing versions of software packages designed to manage and code qualitative data proved incapable of handling such a large dataset, and the data had to be spread across numerous databases.

Functional classification was determined using numerous databases: DAVID Bioinformatics Resources 2008 (http://david.abcc.ncifcrf.gov/), Online Medelian Inheritance in Man (http://www.ncbi.nlm.nih.gov/sites/entrez?db=OMIM&TabCmd=Limits), SOURCE (http://smd.stanford.edu/cgi-bin/source/sourceSearch), gand Babelomics Fatigo+ (http://babelomics2.bioinfo.cipf.es/fatigoplus/cgi-bin/fatigoplus.cgi).

There have been numerous database-oriented integration approaches developed (for example, Ameur et al., 2006; Shah et al., 2005; Sujansky, 2001; Töpel et al., 2008), which partly provide world-wide integration of multidomain biological data, but many biological researchers are overwhelmed by the number of specialized databases, sheer data flood and unhandy web interfaces.

In addition, numerous databases provide annotation at different biological levels.

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