Learning Concept Hierarchy from Folksonomy

@article{Cai2011LearningCH,
  title={Learning Concept Hierarchy from Folksonomy},
  author={Shu-Bin Cai and Heng Sun and Sishan Gu and Zhong Ming},
  journal={2011 Eighth Web Information Systems and Applications Conference},
  year={2011},
  pages={47-51}
}
Users often use tags to annotate and categorize web content. A folksonomy is a system of classification derived from the practice and method of collaboratively creating and managing tags. The most significant feature of a folksonomy is that it directly reflects the vocabulary of users. This feature is very useful in tag-based content searching and user browsing. Based on mutual-overlapping measurement of tag's instance sets, an ontology learning algorithm to construct concept hierarchy from… CONTINUE READING