The problem of learning non-taxonomic relationships of ontologiesn from text

• Autor(es): Serra, Ivo ; Girardi, Rosario ; Novais, Paulo
• Data: 2012
• Identificador Persistente: http://hdl.handle.net/1822/23920
• Origem: RepositóriUM - Universidade do Minho
• Assunto(s): Ontology; Ontology learning; Non-taxonomic relationships; Natural language processing
• Tipo de Documento: Artigo
• Idioma: Inglês

Descrição

Manual construction of ontologies by domain experts and knowledge engineers is a costly task. Thus, automatic and/or semi-automatic approaches to their development are needed. Ontology Learning aims at identifying its constituent elements, such as non-taxonomic relationships, from textual information sources. This article presents a discussion of the problem of Learning Non-Taxonomic Relationships of Ontologies and defines its generic process. Four techniques representing the state of the art of Learning Non-Taxonomic Relationships of Ontologies are described and the solutions they provide are discussed along with their advantages and limitations.