Document Summarization Using Semantic Clouds

Document summarization and visualization techniques take into account important aspects of information retrieval process. They have a great impact on several dimensions of user information perception and relevant information recognition. In this paper we propose a novel summarization strategy to add terms semantically related to the keywords extracted from a single document using a semantic content analysis approach, ontologies, metrics for semantic similarity measure and information visualization. These additional information are extracted from a general knowledge base. The obtained keywords are visualized by means of a bag of words called Semantic Cloud. We evaluate the efficiency of our strategy using a standard test set document collection and we present some user centered experimental results together with a document summarization example.