S-CREAM: Semiautomatic CREAtion of Metadata

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How researchers see this paper

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A fuzzy ontology and its application to news summarization (2005, background): “[6] provide a framework, known as S-CREAM, that allows for creation of metadata and is trainable for a specific domain.”
Towards the self-annotating web (2004, methodology): “In [17] we proposed a semi-automatic approach to discovering instances of a concept by using a machine-learning based information extraction system (viz.”
Automatic Ontology-Based Knowledge Extraction from Web Documents (2003, methodology): “The use of ontologies to support knowledge extraction has been previously demonstrated (Handschuh et al 2002, Vargas Vera et al 2001).”
An Adaptation of the Vector-Space Model for Ontology-Based Information Retrieval (2007, methodology): “More sophisticated annotation techniques , as have been reported in the literature [10], [17], [20], [28], could be reused and integrated here in a complementary and modular way, to the benefit of our system.”
An Ontology-Based Information Retrieval Model (2005, methodology): “While we do not address here the problem of knowledge extraction from text [4,5,9,10,11,14], we provide a vocabulary and some simple mechanisms to aid in the semi-automatic annotation of documents, once ontology instances have been created (manually or automatically).”