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Statements

Subject Item
dbr:Entity–relationship_model
dbo:wikiPageWikiLink
dbr:Schema-agnostic_databases
Subject Item
dbr:Distributional–relational_database
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dbr:Schema-agnostic_databases
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Schema-agnostic databases
rdfs:comment
Schema-agnostic databases or vocabulary-independent databases aim at supporting users to be abstracted from the representation of the data, supporting the automatic semantic matching between queries and databases. Schema-agnosticism is the property of a database of mapping a query issued with the user terminology and structure, automatically mapping it to the dataset vocabulary.
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dbc:Artificial_intelligence dbc:Database_management_systems dbc:Computer_data
dbo:wikiPageID
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dbo:wikiPageRevisionID
1023349478
dbo:wikiPageWikiLink
dbr:Semantic_matching dbr:Structured_data dbr:Semiotics dbc:Artificial_intelligence dbr:Semantic_gap dbr:Semantic_parsing dbr:Big_data dbc:Computer_data dbr:Semantic_Web dbr:SPARQL dbr:Database dbc:Database_management_systems dbr:Natural_language_user_interface dbr:SQL
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Schema-agnostic databases or vocabulary-independent databases aim at supporting users to be abstracted from the representation of the data, supporting the automatic semantic matching between queries and databases. Schema-agnosticism is the property of a database of mapping a query issued with the user terminology and structure, automatically mapping it to the dataset vocabulary. The increase in the size and in the semantic heterogeneity of database schemas bring new requirements for users querying and searching structured data. At this scale it can become unfeasible for data consumers to be familiar with the representation of the data in order to query it. At the center of this discussion is the semantic gap between users and databases, which becomes more central as the scale and complexity of the data grows.
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