REVIEWING THE PROBLEM OF LEARNING NON-TAXONOMIC RELATIONSHIPS OF ONTOLOGIES FROM TEXT
Ivo Serra, Rosario Girardi, Paulo Nováis · International Journal of Semantic Computing · 2012
Learning Non-Taxonomic Relationships is a sub-field of Ontology Learning that aims at automating the extraction of these relationships from text. This article discusses the problem of Learning Non-Taxonomic Relationships of ontologies and proposes a generic process for approaching it. Some techniques representing the state of the art of this field are discussed along with their 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 good effectiveness in the process of extraction of non-taxonomic relationships according to the characteristics of the corpus.