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  • 2 6 Textual Disambiguation
    Data Architecture: a Primer for the Data Scientist#R##N#Big Data Data Warehouse and Data Vault, 2015
    Co-Authors: W H Inmon
    Abstract:

    Unstructured nonrepetitive data is conTextualized by means of a process called Textual Disambiguation. It is only after Textual Disambiguation that unstructured nonrepetitive data is able to be analyzed. Textual Disambiguation is sometimes called Textual ETL. Textual Disambiguation consists of many different algorithms. The two most prominent algorithms are document fracturing and named value process (sometimes called inline conTextualization). The process of identifying documents that need to be processed through Textual Disambiguation is preceded by the mapping process. The iterative approach is the way that documents are normally processed. Another form of Disambiguation is that of report decompilation.