deletions | additions       diff --git a/For_the_learning_resources_management__.tex b/For_the_learning_resources_management__.tex  index 1d7ef6d..b9e8322 100644  --- a/For_the_learning_resources_management__.tex  +++ b/For_the_learning_resources_management__.tex 
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In their previous works \cite{Anikin_VSTU2014_2,Anikin_VSTU2014_1,Anikin_KBSE2014} the authors proposed an ontology-based concept of new learning content creation in open learning network on the base of learning resources retrieval and integration in personal learning collections. The personal learning collection was defined as a set of the learning resources retrieved according to the learner profile, learner's current and outcome competencies and other personal preferences, and set of relations between the resources which define the learning sequence to achieve the learning objectives. The process of learning content management was presented as a control system (Fig. \ref{fig:management}), where control object is the personal learning collection, controller for the inner circuit is the personal collection builder, for the outer circuit - the learner profile editor, the system output is the set of learning resources and relations between them, the measured output for the inner circuit is the personal collection quality measures, for the outer circuit - measured current and intentional competencies of the learner. So the feedback loops ensure the quality of the personal collection and conformity with the variable learner properties.  The ontological model for knowledge representation was developed including ontologies of learning course domain, learning resource, learner's profile and personal learning collection. The last one includes the set of semantic rules for creating the personal learning collection. The new two-stage method for electronic learning resources retrieval and integration into personal learning collection was developed based on ontology reasoning rules.   To implement the proposed knowledge-based approach that realizes