How can metadata contribute to add semantic information to clusters ?
Résumé
The huge volume of data produced by different information sources implies to develop tools to retrieve pertinent data. Metadata, defined as “data about data” is a challenging way to add semantic and appear as a mean to manage a considerable volume of data without acceding to their content. In this paper, we present a methodology to extract metadata during a classification process. These metadata will give information about clusters like clusters contents, classification method, general information. Standards like Dublin Core and RDF have been used to model metadata. In our context, metadata will be used to share information and resources without any access to their content to respect privacy issues. Data from different sources can be compared using these metadata.