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 info...
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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.
The question of subjectivity and objectivity of information is an important open issue in the knowledge engineering research community. In the context of space representation, they have been traditionally considered c...
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