Intelligent integration of information from semi-structured web data sources on the basis of ontology and meta-models

As computer users face an increasing amount of various semi-structured information sources, the issue of correlating, integration and presenting related information to users becomes all the more important. As a solution, we propose the Semi-Structured Data Universal Data Browser, which, in its operations, makes use of descriptions of data sources that are presented in the form of meta-models or ontologies, ensuring the user's ability to use information from the data sources. Information from semi-structured data sources is analyzed, transformed and stored in the Semi-Structured Data Universal Data Browser database, which is based on meta-models. The ontologies of information in each data source are preserved, and they are mutually linked to logical and global ontologies through the use of mapping. As an example, we use the integration of information on Internet homepages about products and their classifications.