Abstract
The problem of defining new methodologies for Knowledge Representation has a great influence on information technology and, from a general point of view, on cognitive sciences. In the last years some new approach strictly related to the above matter has been proposed and some of them are based on ontologies to reduce conceptual or terminological mess and to have a common view of the same information. We here propose an ontological model to represent information and we implement it in a content based information system for scoring documents w.r.t. a given topic an ad hoc metric; we use the Web as our context of interest.
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Picariello, A., Rinaldi, A.M. (2008). Using Ontologies and Relatedness Metrics for Semantic Document Analysis on the Web. In: Kapetanios, E., Sugumaran, V., Spiliopoulou, M. (eds) Natural Language and Information Systems. NLDB 2008. Lecture Notes in Computer Science, vol 5039. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69858-6_34
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DOI: https://doi.org/10.1007/978-3-540-69858-6_34
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-69857-9
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