Abstract: Techniques for extracting skills from unstructured raw data are provided. The method includes determining at least one normalized role that match a role of the raw data, wherein the match is determined based on a first semantic similarity score generated for each of normalized roles of a set of normalized roles; generating a subset of normalized tasks that are associated with the at least one normalized role; determining, based on a second semantic similarity score, at least one normalized task for a task data unit of the raw data, wherein the task data unit is a portion of the raw data that describes tasks of the role, wherein the at least one normalized task is a normalized task in the subset of normalized tasks; aggregating skills that are associated with the at least one normalized task; and generating structured skill data of the raw data using the aggregated skills.