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How can metadata contribute to add semantic information to clusters ?

Abdourahamane Balde 1 Marie-Aude Aufaure 2
1 AxIS - Usage-centered design, analysis and improvement of information systems
CRISAM - Inria Sophia Antipolis - Méditerranée , Inria Paris-Rocquencourt
Abstract : 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.
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Submitted on : Thursday, March 6, 2008 - 4:58:53 PM
Last modification on : Tuesday, January 11, 2022 - 11:16:22 AM


  • HAL Id : hal-00261372, version 1



Abdourahamane Balde, Marie-Aude Aufaure. How can metadata contribute to add semantic information to clusters ?. Journal of Symbolic Data Analysis, Seconda Università degli studi di Napoli, 2005, 3 (1), pp.32-44. ⟨hal-00261372⟩



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