Reviewing the problem of learning non-taxonomic relationships of ontologies from text

摘要

Learning Non-Taxonomic Relationships is a sub-field of OntologyLearning that aims at automating the extraction of these relationships from text.This article discusses the problem of Learning Non-Taxonomic Relationshipsof ontologies and proposes a generic process for approaching it. Sometechniques representing the state of the art of this field are discussed along withtheir advantages and limitations. Finally, a framework for Learning Non-Taxonomic Relationships being developed by the authors is briefly discussed.This framework intends to be a customizable solution to reach goodeffectiveness in the process of extraction of non-taxonomic relationshipsaccording to the characteristics of the corpus.