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The metadata generation process consists of building a set of formal descriptions of the data sources available at the NCBI and how to access them.
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This approach stands upon two main processes: metadata generation and query resolution.
This process, called metadata generation, must be triggered regularly to keep the API up to date with the changes in the NCBI databases structure.
As processing power available in the cloud and locally increase automated metadata generation from the raw content can become more sophisticated.
HIVE supports dynamic subject metadata generation using multiple SKOS encoded controlled vocabularies.
This generation process is illustrated below.
The results highlight the value of the HIVE approach for information management systems seeking to work with multiple vocabularies for metadata generation in an intelligent manner.
Other types of metadata generation could be added to our workflows using other types of content.
Figure 4 Signal generation process.
Jeung, et al. [42] present an automated metadata generation approach that includes a probabilistic measure of data quality.
Figure 20 The IMSI generation process.
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