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Diversifying Search Results Using Semantic Resources

In the last years, multimedia content has grown increasingly over the Internet, especially in social networks (like Facebook or Flickr), where users often post images using their mobile devices. In these networks, the content is later used in search operations, when some users want to find something using a specific query. Nowadays, searching into these networks is primarily made using the title, description and the keywords associated to resources added by users that have posted the content. In this paper we address the problem of query ambiguity. The usage of semantic resources, like ConceptNet and DBpedia ontologies, has been proven to retrieve a better set of results.