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The ontology-based approach to creation of personal learning collections implies utilizing the ontologies for modeling the learning course data domain, the learner profile, the learning resources and the personal learning collection. The data domain of learning course is described by competencies (knowledge, skills, abilities) which the student should acquire as a result of the learning process within the learning course or some part of it. The knowledge field is represented as a set of knowledge domain concepts and relations between the concepts. The learner profile is described using the current and outcome competencies (knowledge, skills, abilities) of the learner which are defined on the same domain. It also includes individual learner properties such as preferred languages, current and outcome knowledge level/comprehension etc. Each learning resources is annotated with competencies (knowledge, skills, abilities) which the learner can get using this resource, and prerequisite competencies which he should have before using this resource. These properties are defined on the same domain along with some specific properties (resource name, authors, resource location and type, language, knowledge level, didactic role etc.). Annotated in this way learning resources can be collected in open repositories for further use. The meta-ontology for retrieval and integration of learning resources in the personal collections was developed to integrate and manage the domain ontologies:  \begin{equation}  M = < O_{M}, C, Inst, R, I> ,  \end{equation}  where $M$ -- meta-ontology; \\ $O_{M} = \left \{ O_{DD}, O_{ELR}, O_{COL}, O_{L} \right \}$ -- set of ontologies, $O_{DD}$ -- learning course domain ontology, $O_{ELR}$ -- learning resource ontology, $O_{COL}$ -- personal learning collection ontology, $O_{L}$ -- learner profile ontology;\\ $C$ -- finite set of meta-ontology concepts, $C = \varnothing$; \\ $Inst$ -- finite set of meta-ontology instances, $Inst = \varnothing$; \\ $R=\left \{ has, uses, includes, is \right \} $ -- finite set of meta-ontology relations; \\ $I$ -- finite set of interpretation rules, $I = \varnothing$.  \begin{figure}[ht]  \centering  \includegraphics[width=0.6\linewidth]{pic1.pdf}  \caption{Meta-ontology (IDEF5 diagram)}  \label{fig_3}  \end{figure}  The formal models of ontologies mentioned above are described in detail in \cite{Anikin_KBSE2014}.  The new two-stage method for electronic learning resources retrieval and integration based on ontology reasoning rules was developed which includes the following main stages: