There are multiple pre-configured taxonomies which the NextGen Resume Maps to:

Skills

• Lightcast
• ESCO

By default, NextGen Resume Parser uses the Lightcast taxonomy. This can be changed by editing the field configuration for Skills in Collection settings, and selecting the desired taxonomy from the list, or changing the field type to 'Text' for raw text only.

This Lightcast skills taxonomy works across all major languages providing standardised data using a best-in-class taxonomy. By default, mapped skills are returned in English. However, if you’d like them returned in the language of the original resume, we can enable this for customers.

Job titles

• Lightcast
• ESCO

By default, NextGen Resume Parser uses no Job Title taxonomy. This can be changed by editing the field configuration for Job Titles in Collection settings, and updating the field type to 'Dropdown' and selecting the desired taxonomy from the list.

Occupation Classification

• UK SOC Standard Occupational Classification
• ISCO
• O_NET

All three Occupation Classifications are available in the API response automatically.

Custom taxonomies

Additional taxonomies that customers use internally that are not available as pre-configured options can also be added, ensuring that customers get the data in the format they need. Custom taxonomies can be defined for fields that already have pre-configured options (e.g. skills, job titles), but also any other text field (e.g. organisations).

For example, this means customers may add their own internal skills taxonomy that is in place of Lightcast or ESCO, or they may wish to map against a defined list of universities that are relevant to the customer.

For more information on specifying a custom taxonomy, please get in touch with the Affinda team.