Conceptual Knowledge Acquisition Using Automatically Generated Large-Scale Semantic Networks

نویسندگان

  • Pia-Ramona Wojtinnek
  • Brian Harrington
  • Sebastian Rudolph
  • Stephen G. Pulman
چکیده

We present a method for automatically creating large-scale semantic networks from natural language text, based on deep semantic analysis. We provide a robust and scalable implementation, and sketch various ways in which the representation may be deployed for conceptual knowledge acquisition. A translation to RDF establishes interoperability with a wide range of standardised tools, and bridges the gap to the field of semantic technologies.

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Computing Science Group CS-RR-10-04

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تاریخ انتشار 2010