Mining social semantics on the social web

@article{Hotho2017MiningSS,
  title={Mining social semantics on the social web},
  author={Andreas Hotho and Robert J{\"a}schke and Kristina Lerman},
  journal={Semantic Web},
  year={2017},
  volume={8},
  pages={621}
}
In recent years the amount of data available on the social web has grown massively. Consequently, researchers have developed approaches that leverage this social web data to tackle interesting challenges of the semantic web. Among these are methods for learning ontologies from social media or crowdsourcing, extracting semantics from data collected by citizen science and participatory sensing initiatives, or for better understanding and describing user activities. The rich data provided by the… 

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