What Goes Around Comes Around — Improving Linked Open Data through On-Demand Model Creation

نویسندگان

  • Christopher Thomas
  • Wenbo Wang
  • Pankaj Mehra
  • Delroy Cameron
  • Pablo N. Mendes
  • Amit Sheth
چکیده

We present a method for growing the amount of knowledge available on the Web using a hermeneutic method that involves background knowledge, Information Extraction techniques and validation through discourse and use of the extracted information. We exemplify this using Linked Data as background knowledge, automatic Model/Ontology creation for the IE part and a Semantic Browser for evaluation. The hermeneutic approach, however, is open to be used with other IE techniques and other evaluation methods. We will present results from the model creation and anecdotal evidence for the feasibility of ”Validation through Use”.

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تاریخ انتشار 2010