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This file format is widely used as a data interchange mechanism for structured data that represents relational tables (popular usage pattern) or relational property/predicate statement graphs (exemplified by RDF's N-Triples notation).

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  • Comma Separated Values (CSV)
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  • This file format is widely used as a data interchange mechanism for structured data that represents relational tables (popular usage pattern) or relational property/predicate statement graphs (exemplified by RDF's N-Triples notation).
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Description
  • Generally, each CSV file is the equivalent of a SQL relational database table i.e., each table-name denotes an entity type (or "class" in RDF) that plays the "value" (or "object" in RDF) role in an "isA" or "instanceOf" (aka. "rdf:type" in RDF) relation -- where each relation entity (or "subject" in RDF) is denoted by a table-row-identifier. Furthermore, each column-name denotes an entity playing the "attribute" role in a relation where each entity denoted by a table-row-identifier plays the "entity" (or "subject" in RDF) role, and each column-row intersection value denotes an entity playing the "value" ("object" in RDF) role. On the Relational Schema side of things, a table-name denotes an entity type that plays the "value" ("object" in RDF) role in a "hasDomain" relation where each entity denoted by a column-name plays the "entity" ("subject" in RDF) role; in addition, each entity denoted by a column-name plays the "entity" ("subject" in RDF) role in a "hasRange" relation where each column datatype is a literal (typed or untyped) or Reference that plays the "value" ("object" in RDF) role.
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  • #CSV
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