Building Ontologies from Text Corpora
Ali Benafia, Smaine Mazouzi, Sara Benafia · 2015
This paper presents a novel approach of information extraction for building ontologies covering an extensive range of applications drawn from corpora. Our goal is to propose a method that is independent of domains and based on a distributional analysis of semantic units to bring out all the candidates informative elements (concepts, entities, semantic relations, named entities ...). This method is based on a pipeline of four main stages allowing to refine the extraction information from unstructured text in the form of a suite of decomposable representations (sentences in triplets, "argumental structure"...) until to get a consistent final ontology.