We propose a framework for ranking information based on quality, relevance and importance, and ar... more 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 enhanced precision in information retrieval. We use Topic Maps to implement our framework, and discuss procedures for collecting the pertinent metadata and for calculating the resource ranking. A fuzzy neural network approach is envisioned to complement the process of manual metadata creation.
Uploads
Papers by Sasha Rudan