On the relationship between ontology construction and natural language: a socio-semiotic view
International Journal of Human-Computer Studies - Special issue: the role of formal ontology in the information technology
Assessing agreement on classification tasks: the kappa statistic
Computational Linguistics
An NLP-based ontology population for a risk management generic structure
CSTST '08 Proceedings of the 5th international conference on Soft computing as transdisciplinary science and technology
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Knowledge management (ontologies development, disambiguation of words, semantic web, etc.) must extract knowledge from somewhere. The main source of knowledge are natural language texts, in which humans express how they view and conceptualize the world. However, the automatic extraction of knowledge from texts is not a trivial task. In this paper we present a semantic annotated corpus as a source for knowledge extraction. Semantic is the bridge between linguistic input and knowledge (concepts, real world). A corpus with semantic information annotated is a useful resource to extract knowledge from a real context: it is a semi-structured database that offers deep information about human knowledge, concepts and relations between them.