Using Ontologies and Relatedness Metrics for Semantic Document Analysis on the Web

  • Authors:
  • Antonio Picariello;Antonio M. Rinaldi

  • Affiliations:
  • Dipartimento di Informatica e Sistemistica, Universitá di Napoli Federico II, Napoli, Italy 80125;Dipartimento di Informatica e Sistemistica, Universitá di Napoli Federico II, Napoli, Italy 80125

  • Venue:
  • NLDB '08 Proceedings of the 13th international conference on Natural Language and Information Systems: Applications of Natural Language to Information Systems
  • Year:
  • 2008

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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.