Reviewing the problem of learning non-taxonomic relationships of ontologies fro...

• Autor(es): Serra, Ivo ; Girardi, Rosario ; Novais, Paulo
• Data: 2012
• Identificador Persistente: http://hdl.handle.net/1822/26560
• Origem: RepositóriUM - Universidade do Minho
• Assunto(s): Ontology; Ontology learning; Non-taxonomic relationships; Natural Language Processing
• Tipo de Documento: Artigo
• Idioma: Inglês

Descrição

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.