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We propose an advisory system AdvisOnt that analyses the outcomes of non-formal and informal learning and ensures their validation for more efficient matching of information about potential employees, employers and agricultural educational resources.  AdvisOnt is based on ontological representation of this knowledge formalized by competencies, vacancies, training courses, user profiles, etc. The system is aimed to generate recommendations for employment or further learning of necessary competencies by matching these objects. External knowledge bases are used for semantic formalization of vacancies and resumes for their more pertinent matching with the help of agricultural domain knowledge and competence classifications.  AdvisOnt users receive recommendations on employment and about training courses that provide advisable competencies.

AdvisOnt: Semantization of Agricultural Advisory Services for Validation of Outcomes of Non-Formal and Informal Learning. I