Development of advisory system based on semantic technologies

Abstract

We analyze main characteristics of modern semantic technologies and consider specifics of their components used for development of the Web-oriented advisory systems. Ontological analysis is used for representation of distributed background knowledge about users, their professions, competencies, lifelong learning ouecomes, etc., and standards of the Semantic Web project provide the technological foundation for creation of intelligent advisory applications.Validation of learning outcomes of informal and non-formal learning needs in semantic matching of user profiles with classifications of professions and qualifications. On base of this research we propose models and means for representation, acquisition and processing of knowledge that make such systems more efficient and dynamic. Methods for comparison of different advisory information objects are based on atomic competences processing are developed. Elements of artificial intelligence and machine learning are used for construction of information objects that are processed by advisory systems. Advantages of proposed approach are demonstrated on example of applied information system AdvisOnt developed to combine the market of educational services with the labor market that can use validation of the informal and non-formal learning outcomes.