Mapping Import Data

When importing terminology data to crossTerm, the file to be imported usually contains information belonging to different data categories. Apart from the actual terms, the import file usually also contains additional information such as entry definitions or information on the subject or part of speech. For Across to "know" how to import this information to crossTerm, the data categories and values contained in the import file must be mapped to the corresponding data categories and values in Across.

Mapping is a process of allocating data categories and values in Across. The mapping ensures the correct import of the data from the import file to crossTerm.

Tip

Before importing terminology, you should know how the terminology data to be imported will be mapped in Across, and which data categories they should be allocated to. It may be necessary to adjust the crossTerm settings accordingly, e.g. to add missing data categories or values.

  • The mapping takes place in several consecutive steps:
  • Mapping of information types:

    The mapping of information types takes place exclusively when importing terminology data in CSV format. In this process, the fields of the CSV file are mapped to the basic information types in Across. Information types, for example, are text fields or picklists at entry level, entry IDs, terms or data categories at term level. The mapping is further specified in the subsequent steps.

  • Mapping of languages and sublanguages:

    The languages and any sublanguages in which the terms exist in the import file are mapped to the languages and sublanguages in Across.

  • Mapping of data categories

    The data categories in the import file such as Subject and Part of speech are mapped to the corresponding data categories in Across.

  • Tip

    The GUID mapping when importing terminology data in CSV format is a special form of mapping of data categories.

  • Mapping of values:

    The values of the individual data categories in the import file (e.g. the values "Finance" and "Economy" for the data category Subject) are mapped to the corresponding values in Across.

Across tries to perform the mapping automatically as far as possible. If subjects have the same name (e.g. "Information Technology" both in the import file and in Across"), Across will identify them as identical values.

Attention

Data categories or values that are not mapped to any Across data category or value will not be imported.