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  2. 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).

  3. Ontology-based data integration - Wikipedia

    en.wikipedia.org/.../Ontology-based_data_integration

    Ontology-based data integration involves the use of one or more ontologies to effectively combine data or information from multiple heterogeneous sources. [1] It is one of the multiple data integration approaches and may be classified as Global-As-View (GAV). [ 2 ]

  4. Web data integration - Wikipedia

    en.wikipedia.org/wiki/Web_data_integration

    Web data integration (WDI) is the process of aggregating and managing data from different websites into a single, homogeneous workflow. This process includes data access, transformation, mapping, quality assurance and fusion of data. Data that is sourced and structured from websites is referred to as "web data".

  5. Data transformation (computing) - Wikipedia

    en.wikipedia.org/wiki/Data_transformation...

    In computing, data transformation is the process of converting data from one format or structure into another format or structure. It is a fundamental aspect of most data integration [1] and data management tasks such as data wrangling, data warehousing, data integration and application integration.

  6. Data mapping - Wikipedia

    en.wikipedia.org/wiki/Data_mapping

    In computing and data management, data mapping is the process of creating data element mappings between two distinct data models. Data mapping is used as a first step for a wide variety of data integration tasks, including: [1] Data transformation or data mediation between a data source and a destination

  7. Data fusion - Wikipedia

    en.wikipedia.org/wiki/Data_fusion

    Data fusion is the process of integrating multiple data sources to produce more consistent, accurate, and useful information than that provided by any individual data source. Data fusion processes are often categorized as low, intermediate, or high, depending on the processing stage at which fusion takes place. [ 1 ]

  8. Federated database system - Wikipedia

    en.wikipedia.org/wiki/Federated_database_system

    It may include access control information regarding its use by a specific federation user. The export schema helps in managing flow of control of data. Federated Schema is an integration of multiple export schemas. It includes information on data distribution that is generated when integrating export schemas. [3]

  9. Category:Data integration - Wikipedia

    en.wikipedia.org/wiki/Category:Data_integration

    Web data integration This page was last edited on 30 September 2024, at 03:12 (UTC). Text is available under the Creative Commons Attribution-ShareAlike 4 ...