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Using Information Extractors with the Neural ElectroMagnetic Ontologies

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On the Move to Meaningful Internet Systems: OTM 2011 Workshops (OTM 2011)

Part of the book series: Lecture Notes in Computer Science ((LNISA,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.

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References

  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)

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  2. Wimalasuriya, D.C., Dou, D.: Components for information extraction: ontology-based information extractors and generic platforms. In: CIKM, pp. 9–18 (2010)

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  3. Wu, F., Weld, D.S.: Autonomously semantifying wikipedia. In: CIKM, pp. 41–50. ACM, NY (2007)

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© 2011 Springer-Verlag Berlin Heidelberg

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Gutierrez, F., Wimalasuriya, D.C., Dou, D. (2011). Using Information Extractors with the Neural ElectroMagnetic Ontologies. In: Meersman, R., Dillon, T., Herrero, P. (eds) On the Move to Meaningful Internet Systems: OTM 2011 Workshops. OTM 2011. Lecture Notes in Computer Science, vol 7046. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25126-9_8

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  • DOI: https://doi.org/10.1007/978-3-642-25126-9_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25125-2

  • Online ISBN: 978-3-642-25126-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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