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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 can be downloaded from slideshare.net 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 |
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