Multi-ontology based semantic annotation review

Day by day, the amount of digital data grows exponentially. Furthermore, these data come from heterogeneous content and structure resources. Both factors are the major handicap that limits the correct functioning of information systems. Being on the same wavelength, researchers have fixed as a challenge to reach targeted information retrieval which allows an easy access to the desired resource then return relevant and correct outcomes corresponding to a specific request. Therefore, semantic annotation is chosen as a paramount solution that may handle all these requirements, while ensuring a good understanding of document content then exploit and share it readily afterward. In this paper, we treat semantic annotation of documents using multi-ontologies, by stressing the effect of that on the relevance and the quality of semantic annotation results. We present a survey of different multi-ontologies based semantic annotation approaches and conclude with a synthesis of the study made.