The idea of this work is to propose a method of Web data aggregation employing ontology. This method is required as a part of major method proposed by Vytautas Taujanskas and Rimantas Butleris in paper “Categories extraction for reuse in semantic applications and profile based recommendation service” [1]. The main task of the method aims to semantic portal users who request to get information according their profile settings based and described with meaningful semantics. The requirements of method are created based on requirements of Semantic Web implementation and Semantic Web Services concepts. The vision of Semantic Web, Web Ontology Language, Resource Description Framework, Semantic Query Language for RDF, Ontology tools and frameworks issues are discussed. Also the main techniques of current Web for data syndication, aggregation and publishing in various feeds formats (Atom, RSS) among users are introduced. The proposed method integrates available techniques and creates possibility of aggregated data storing in ontology based databases. The data represented by ontology can be re-used by another system without loosing semantics and more flexible. The project model of method implementation was created and implemented by using JAVA programming language combining available techniques described in analysis phase. The experiment with test data and use case tests shows that method can be implemented successfully with available tools as a part of Semantic Web application.