Campus Villa Ida, Leipzig
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Fourth International
Conference on
Topic Maps
Research and
Roy Lachica, Dino Karabeg, and Sasa Rudan
Quality, Relevance and Importance in Information Retrieval with Fuzzy Semantic Networks
Abstract: We propose a framework for ranking information based on quality, relevance and importance, and argue that a socio-semantic contextual approach that extends topicality can lead to increased value of information retrieval systems. We use Topic Maps to implement our framework, and discuss procedures for calculating the resource ranking. A fuzzy neural network approach is envisioned to complement the process of manual metadata creation.
This talk
  was part of the session Topic Maps and Information Retrieval
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The author Roy Lachica
  has the following record at DBLP
The author Dino Karabeg
  has the following record at DBLP
The author Sasa Rudan
  has the following record at DBLP