Conceptual Knowledge Acquisition Using Automatically Generated Large-Scale Semantic Networks

Pia-Ramona WojtinnekPia-Ramona Wojtinnek, Brian HarringtonBrian Harrington, Sebastian RudolphSebastian Rudolph, Stephen PulmanStephen Pulman

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Pia-Ramona Wojtinnek, Brian Harrington, Sebastian Rudolph, Stephen Pulman
Conceptual Knowledge Acquisition Using Automatically Generated Large-Scale Semantic Networks
In Madalina Croitoru, Sébastien Ferré, Dickson Lukose, eds., Proceedings of the 18th International Conference on Conceptual Structures, volume 6208 of LNCS, 203-206, July 2010. Springer

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KurzfassungAbstract
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.
Forschungsgruppe:Research Group: Computational LogicComputational Logic

The final publication is available at Springer.

@inproceedings{WHRP2010,
  author    = {Pia-Ramona Wojtinnek and Brian Harrington and Sebastian Rudolph
               and Stephen Pulman},
  title     = {Conceptual Knowledge Acquisition Using Automatically Generated
               Large-Scale Semantic Networks},
  editor    = {Madalina Croitoru and S{\'{e}}bastien Ferr{\'{e}} and Dickson
               Lukose},
  booktitle = {Proceedings of the 18th International Conference on Conceptual
               Structures},
  series    = {LNCS},
  volume    = {6208},
  publisher = {Springer},
  year      = {2010},
  month     = {July},
  pages     = {203-206}
}