Semantic Information Retrieval Dedicated to Multimedia Systems: A Platform Based on Conceptual Graphs

  • Xavier Aimé
  • Francky Trichet
Part of the Studies in Computational Intelligence book series (SCI, volume 142)


OSIRIS is a web platform dedicated to the development of Ontology-based System for Semantic Information Retrieval and Indexation of multimedia resources which are shared within communautary and open web Spaces. Based on the use of both heavyweight ontologies and thesaurii, OSIRIS allows the end-user (1) to describe the semantic content of its resources by using an intuitive natural-language based model of annotation which is founded on the triple (Subject, Verb, Object), and (2) to formally represent these annotations by using Conceptual Graphs. Moreover, each resource can be described by adopting multiple points of view, which usually correspond to different end-users. These different points of view can be defined by using multiple ontologies which can be related to connected (or not-connected) domains. Developed from the integration of Semantic Web technologies and Web 2.0 technologies, OSIRIS aims at facilitating the deployment of semantic, collaborative, communautary and open web spaces.


ontology heavyweight ontology thesaurus semantic annotation semantic informa-tion retrieval conceptual graphs semantic web intelligent multimedia system collaborative annotation social tagging semantic web 2.0 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Xavier Aimé
    • 1
  • Francky Trichet
    • 1
  1. 1.LINA, Laboratoire d’Informatique de Nantes Atlantique (UMR-CNRS 6241)University of Nantes - Team Knowledge and Decision (KOD)Nantes cedex 03France

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