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
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)
Wimalasuriya, D.C., Dou, D.: Components for information extraction: ontology-based information extractors and generic platforms. In: CIKM, pp. 9–18 (2010)
Wu, F., Weld, D.S.: Autonomously semantifying wikipedia. In: CIKM, pp. 41–50. ACM, NY (2007)
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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
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