Abstract
In this work, we present an approach to simplify Knowledge Acquisition Processes (KAPs) by means of extracting knowledge directly from natural language texts. The ultimate goal is to acquire knowledge straight from experts’ language. This approach uses a morphologic analyzer to improve the setting-in-a-context between knowledge elements (e.g., concepts and attributes). Another objective is achieving language independency. Here, the knowledge acquired from texts is represented by means of ontologies.
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Valencia-García, R., Castellanos Nieves, D., Vivancos Vicente, P.J., Fernández Breis, J.T., Martínez-Béjar, R., García Sánchez, F. (2004). An Approach for Ontology Building from Text Supported by NLP Techniques. In: Conejo, R., Urretavizcaya, M., Pérez-de-la-Cruz, JL. (eds) Current Topics in Artificial Intelligence. TTIA 2003. Lecture Notes in Computer Science(), vol 3040. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-25945-9_13
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DOI: https://doi.org/10.1007/978-3-540-25945-9_13
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