Using Information Extractors with the Neural ElectroMagnetic Ontologies

  • Fernando Gutierrez
  • Daya C. Wimalasuriya
  • Dejing Dou
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7046)

Abstract

In this paper, we present a study to identify instances in research papers from PubMed for the ontology developed by NEMO through the use of a component-based approach for information extraction.

Keywords

Research Paper Information Extraction Actual Information Internal Performance Acceptable Performance 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    Dou, D., Frishkoff, G., Rong, J., Frank, R., Malony, A., Tucker, D.: Development of NeuroElectroMagnetic Ontologies (NEMO): A Framework for Mining Brainwave Ontologies. In: Proceedings of the 13th ACM International Conference on Knowledge Discovery and Data Mining (KDD), pp. 270–279 (2007)Google Scholar
  2. 2.
    Wimalasuriya, D.C., Dou, D.: Components for information extraction: ontology-based information extractors and generic platforms. In: CIKM, pp. 9–18 (2010)Google Scholar
  3. 3.
    Wu, F., Weld, D.S.: Autonomously semantifying wikipedia. In: CIKM, pp. 41–50. ACM, NY (2007)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Fernando Gutierrez
    • 1
  • Daya C. Wimalasuriya
    • 1
  • Dejing Dou
    • 1
  1. 1.Computer and Information Science DepartmentUniversity of OregonEugeneUSA

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