Current information systems provide transparent access to multiple, distributed, autonomous and potentially redundant data sources. Their users may not know the sources they questioned, nor their description and content. Consequently, their queries reflect no more a need that must be satisfied but an intention that must be refined. The purpose of the personalization is to facilitate the expression of users’ needs. It allows them to obtain relevant information by maximizing the exploitation of their preferences grouped in their respective profiles. In this work, we present a matrix completion method that minimize the nuclear norm to construct our users’ profiles. Then we expose their query enrichment process expressed in SPARQL to interrogate data sources described by ontologies.