An Approach for Ontology Building from Text Supported by NLP Techniques

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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