Ontology-based knowledge structuring: an application on RSS feeds

  • Authors:
  • C. De Maio;G. Fenza;V. Loia;S. Senatore

  • Affiliations:
  • Dipartimento di Matematica e Informatica, Università degli Studi di Salerno, Fisciano, SA, Italy;Dipartimento di Matematica e Informatica, Università degli Studi di Salerno, Fisciano, SA, Italy;Dipartimento di Matematica e Informatica, Università degli Studi di Salerno, Fisciano, SA, Italy;Dipartimento di Matematica e Informatica, Università degli Studi di Salerno, Fisciano, SA, Italy

  • Venue:
  • HSI'09 Proceedings of the 2nd conference on Human System Interactions
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper presents a framework for automatically structuring knowledge, in order to reveal the intrinsic relationships among data. The approach exploits a fuzzy extension of Formal Concept Analysis theory, applied to RSS feeds. On the basis of the RSS Feed content, fuzzy FCA generates an ontology oriented knowledge network, enabling the accessibility of web resources presented by feeds. The framework achieves a semantic aggregation of feeds through the analysis of the feed content.