A methodology for extracting ontological knowledge from spanish documents

Authors:
Rafael Valencia-García;Dagoberto Castellanos-Nieves;Jesualdo Tomás Fernández-Breis;Pedro José Vivancos-Vicente
Affiliations:
Departamento de Informática y Sistemas. Facultad de Informática, Universidad de Murcia, Espinardo (Murcia), España;Facultad de Informática y Matemática, Universidad de Holguín, Holguín, Cuba;Departamento de Informática y Sistemas. Facultad de Informática, Universidad de Murcia, Espinardo (Murcia), España;Departamento de Informática y Sistemas. Facultad de Informática, Universidad de Murcia, Espinardo (Murcia), España
Venue:
CICLing'06 Proceedings of the 7th international conference on Computational Linguistics and Intelligent Text Processing
Year:
2006

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Abstract

This paper presents a semi-automatic approach for extracting knowledge from natural language texts in Spanish. The knowledge is acquired and learned through the combination of NLP techniques for analyzing text fragments, the ontological technology for representing knowledge and MCRDR, a case-based reasoning methodology. This approach has been applied in the oncology domain and the results of this application are discussed in this work.