SemTag and seeker: bootstrapping the semantic web via automated semantic annotation

  title={SemTag and seeker: bootstrapping the semantic web via automated semantic annotation},
  author={Stephen Dill and Nadav Eiron and David Gibson and Daniel Gruhl and Ramanathan V. Guha and Anant Jhingran and Tapas Kanungo and Sridhar Rajagopalan and Andrew Tomkins and John A. Tomlin and Jason Y. Zien},
This paper describes Seeker, a platform for large-scale text analytics, and SemTag, an application written on the platform to perform automated semantic tagging of large corpora. We apply SemTag to a collection of approximately 264 million web pages, and generate approximately 434 million automatically disambiguated semantic tags, published to the web as a label bureau providing metadata regarding the 434 million annotations. To our knowledge, this is the largest scale semantic tagging effort… CONTINUE READING
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