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  2. Data mapping - Wikipedia

    en.wikipedia.org/wiki/Data_mapping

    The W3C introduced R2RML as a standard for mapping data in a relational database to data expressed in terms of the Resource Description Framework (RDF). In the future, tools based on semantic web languages such as RDF, the Web Ontology Language (OWL) and standardized metadata registry will make data mapping a more automatic process.

  3. Multivariate map - Wikipedia

    en.wikipedia.org/wiki/Multivariate_map

    A bivariate map or multivariate map is a type of thematic map that displays two or more variables on a single map by combining different sets of symbols. [1] Each of the variables is represented using a standard thematic map technique, such as choropleth , cartogram , or proportional symbols .

  4. Mapping - Wikipedia

    en.wikipedia.org/wiki/Mapping

    Brain mapping, the techniques used to study the brain; Data mapping, data element mappings between two distinct data models; Digital mapping, the use of a computer to depict spatial data on a map; Gene mapping, the assignment of DNA fragments to chromosomes; Mind mapping, the drawing of ideas and the relations among them

  5. Schema matching - Wikipedia

    en.wikipedia.org/wiki/Schema_matching

    The terms schema matching and mapping are often used interchangeably for a database process. For this article, we differentiate the two as follows: schema matching is the process of identifying that two objects are semantically related (scope of this article) while mapping refers to the transformations between the objects.

  6. Schema crosswalk - Wikipedia

    en.wikipedia.org/wiki/Schema_crosswalk

    Crosswalk tables are often employed within or in parallel to enterprise systems, especially when multiple systems are interfaced or when the system includes legacy system data. In the context of Interfaces, they function as an internal extract, transform, load (ETL) mechanism. For example, this is a metadata crosswalk from MARC standards to ...

  7. Data integration - Wikipedia

    en.wikipedia.org/wiki/Data_integration

    Data integration refers to the process of combining, sharing, or synchronizing data from multiple sources to provide users with a unified view. [1] There are a wide range of possible applications for data integration, from commercial (such as when a business merges multiple databases) to scientific (combining research data from different bioinformatics repositories).

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