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Papers in this group tagged with "topic classification"

  1. Tabular data on theWeb has become a rich source of structured data that is useful for ordinary users to explore. Due to its potential, tables on the Web have recently attracted a number of studies [6, 18] with the goals of understanding the…
  2. Linked Open Data (LOD) has emerged as one of the largest collections of interlinked structured datasets on the Web. Although the adoption of such datasets for applications is increasing, identifying relevant datasets for a specific task or topic is…
  3. Identifying upcoming topics from a news stream is a challenging and time consuming task for editors since they have to recognize proper keywords, actively search with them, and need to browse the located media assets. To this end, our goal is to…
  4. Classifying blog posts by topics is useful for applications such as search and marketing. However, topic classification is time consuming and error prone, especially in an open domain such as the blogosphere. The state-of-the-art relies on…