Its working process is the same as traditional encryption-decryption models; it is responsible for handling the designated operations based on user queries to document-oriented database. .
It first retrieves search results based on user queries.
Alternatively, information extracted from the data, based on user queries to locate regions of interest, can be exported in easy-to-use formats for continued exploration outside of VESPA.
It consists of 2 main components: (1) a data ingestion pipeline that collects and transforms original metadata information to a unified metadata model, called DatA Tag Suite (DATS), and (2) a search engine that finds relevant datasets based on user-entered queries.
As in a database, it is possible to produce tabular reports and 'structure galleries' based on user-defined queries or lists of entries.
Graphical interfaces to query these sources of information ease to constrain dynamically query formulation based on user selections, but they present a lack of flexibility in query formulation, since the expressivity power is reduced to the user interface design.
Some of the methods used for summarization can relate to user attention or saliency models [12, 21, 22], be domain-specific [23], i.e., be based on a specific topic, such as sports, news, documentary, movies, etc., or relate to the video's story [20], be based on users' preferences, the query context [18], or even focus on dominant concepts [24].
The LSA technique is applied on the PubMed abstracts obtained based on the user query and the semantic similarity between the query and the abstracts.
It mines relationships among cells, diseases, drugs, proteins, species and tissues based on a user query involving text key terms.
Murray and Durell [2] studied the problem of inferring demographics based on users Internet usage, including queries submitted and Web pages accessed.
